Data scientist jobs in Utica, NY

Apply DATA SCIENTIST Department of Defense Defense Finance and Accounting Service ENTERPRISE SOLUTIONS AND STANDARDS (JJEE) Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply Summary Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information. Summary Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information. Overview Help Accepting applications Open & closing dates 12/18/2025 to 12/24/2025 Salary $124,531 to - $169,039 per year To view pay rates in a specific location visit the OPM pay tables at ******************************************************************* Pay scale & grade GS 14 Locations 1 vacancy in the following locations: Indianapolis, IN Limestone, ME Rome, NY Cleveland, OH Show morefewer locations (1) Columbus, OH Remote job No Telework eligible No Travel Required 25% or less - You may be expected to travel for this position. Relocation expenses reimbursed Yes-You may qualify for reimbursement of relocation expenses in accordance with agency policy. Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential None Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Critical-Sensitive (CS)/High Risk Trust determination process * National security Financial disclosure No Bargaining unit status Yes Announcement number DFAS-DHA-ML-12855027-26 Control number 852745700 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This announcement is open to all U.S. Citizens. Duties Help * Uses expert knowledge of and the application of data analytics, statistical analysis, modeling/simulation, and/or other scientific principles, methods, and techniques. * Demonstrates sufficient knowledge in the areas of business needs, domain knowledge, analytical skills, and software and systems engineering to manage the end-to end data processes in the data life cycle. * Builds analytical, econometric and/or statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, etc. * Generates actionable insights applying advanced statistical techniques, for example, predictive statistical models and simulations, segmentation analysis, customer profiling, analysis, survey design, and data mining. * Collaborates with other data analytics team members to communicate obstacles and findings to relevant stakeholders in an effort to improve decision-making and drive business performance. * Conducts a thorough and rigorous security impact analysis for all DFAS data analytics. * Participates in meetings, conferences, briefings, and seminars related to data analytics program planning, technologies, and support system concepts. Requirements Help Conditions of employment * Must be a U.S. Citizen or National * Background or Security Investigation - see the Additional Information field below for more details. * Registered for Selective Service (males born after 12-31-1959) * Suitable for Federal employment * Obtain/Maintain Financial Management Certification * New employees to the Defense Finance and Accounting Service will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov. * The incumbent of this position will be required to be physically on-site full-time, regular telework is not authorized for this position. Qualifications This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense. We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency. Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received. Selections may be made at any point during the announcement open period. This position has a positive education requirement. To qualify for this position you must meet one of the basic requirements described below: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. You need to send proof of education or of certification to be considered for this position. Click here for more information on who must submit documentation at the time of application and what documentation is acceptable: Transcripts and Certifications. In addition to meeting the basic requirement, qualified applicants must possess one year of specialized experience equivalent in level of difficulty and responsibility to that of the next lower grade (GS-13) in the Federal service, which demonstrates the ability to perform the duties of the position. Specialized Experience is defined as: Developing data models for evaluation, identification, collection, and analysis of all data used to support projects or programs; selecting the appropriate data collection techniques for program analysis from various sources; collecting and analyzing data, and displaying data for analysis to draw conclusions. Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates to paid employment. You will receive credit for all qualifying experience, including volunteer experience. You may qualify for consideration if meeting specialized experience, education requirement, 90 days after competitive appointment requirement, and all other qualification requirements within 30 calendar days after the closing date of the announcement, unless otherwise indicated on the announcement. Education Education requirements are listed in the Qualifications section above. Additional information * Moving expenses may be paid. * Telework availability is limited and will only be provided on a rare case-by-case basis during situations where Agency Leadership has determined that telework serves a compelling DoD need. * Selections are subject to restrictions resulting from the DoD Program for Stability of Civilian Employment. * As a condition of employment, you may be required to serve a 1-year probationary period during which we'll evaluate whether your continued employment advances the public interest. The evaluation will consider: your performance and conduct; the needs and interests of the agency; whether your continued employment advances agency or governmental goals; and whether your continued employment advances the efficiency of the Federal service. At the end of the probationary period, your employment will be terminated unless you receive certification that your continued employment advances the public interest. * We may use this announcement to fill additional vacancies within 90 days of the closing date. * Travel requirement is seldom 1-24% * This position is covered by a bargaining unit. * Veteran's Preference: Veteran's preference does not apply under this Direct Hire Authority (DHA). * This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency. Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received. Selections may be made at any point during the announcement open period. * Retired Civil Service Employee: Employment of retired Federal employees receiving an annuity is subject to the requirements of the Department of Defense (DoD) policy guidance. (See DoD Instruction 1400.25, Volume 300, here). * The Security Designation will vary and dependent upon position and may require a secret clearance or higher. Employment in this position requires a background investigation which may delay starting date. If you are selected and cannot obtain a favorable security determination within a reasonable period of time due to disclosed/undisclosed background issues, the employment offer may be withdrawn. Individuals selected are required to obtain/maintain a favorable security determination to occupy a sensitive position within the agency as a condition of employment. Failure to maintain eligibility to occupy a sensitive position may result in termination. For more information see the security section of Understanding Vacancy Announcements. * Criminal History Inquiries- For some positions, criminal history inquiries may not take place before you receive a conditional job offer. Please see Fair Chance to Compete for Jobs Act of 2019 (dfas.mil) for more information on The Fair Chance to Compete Act, exceptions, and DFAS contact information. * Pay for first time hires to the Federal Government will typically be set at step 1 salary range for their respective grade level. * All applicants are encouraged to apply electronically. If you are unable to apply on-line, you may contact ************ for assistance. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. IMPORTANT NOTE - YOU MUST FOLLOW ALL APPLICATION INSTRUCTIONS CAREFULLY. ERRORS OR OMISSIONS MAY AFFECT YOUR RATING. You will be evaluated on how well your qualifications, as demonstrated in your application materials (e.g., resume, supporting documents) and your responses on the application, meet the requirements listed in this vacancy announcement. DFAS recognizes the value of competencies gained through formal education and professional certifications. To ensure that consistent credit is given for these credentials in the selection process, DFAS has developed standard selection criteria to be used when filling positions in professional and administrative series. Selections for professional and administrative positions will be based on four categories of selection criteria: Experience, Other, Education, and Certifications. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help You must provide a complete Application Package which includes: 1. Resume: A two-page maximum resume is required. Applicant guidance on the two-page resume requirement may be found at **************************************************************************************************************************************** or at ******************************************************************** Your resume must demonstrate the quality of your work as it relates to the experience requirements outlined in the job announcement. 2. Transcripts and/or Certifications: All applicants to include current agency employees, must submit proof of education if the job announcement requires education to meet the basic qualification requirements, or if substituting education to meet the specialized experience requirements. For additional information on acceptable documents, click here Transcripts and Certifications. All applicants to include current agency employees/contractors must also document your education and/or certifications in your resume. To be creditable, education must have been obtained in an accredited college or university recognized by the U.S. Department of Education. Other Supporting Documents. The following supporting documents are ONLY required if applicable to your personal qualifications or status. They must be received by the closing date of the announcement 1. SF-50: Current and former federal employees, including those currently working for the agency, must submit their SF-50 (Notification of Personnel Action) reflecting their highest grade held on a permanent basis for at least 52 weeks, tenure, and appointment type. Failure to provide this document may result in disqualification. 2. Cover Letter: You may submit a cover letter which will be forwarded to the selecting official with your resume. Your cover letter will not be used to verify your qualifications or eligibility. 3. Military Spouse Preference (MSP) Eligible: Military Spouse Preference applicants, must be selected and placed at the highest grade level for which they have applied and been determined best qualified up to and including the full performance level. You must include a completed copy of the Military Spouse PPP Self-Certification Checklist dated within 30 days along with the documents identified on the checklist to verify your eligibility for Military Spouse Preference. Click here to obtain a copy of the Military Spouse PPP Self-Certification Checklist. 4. Military Reserve (MR) and National Guard (NG) Technicians PPP Eligible: MR and NG technicians PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician preference. Click here to obtain a copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist. 5. Military Reserve (MR) and National Guard (NG) Technicians Receiving Disability Retirement PPP Eligible: MR and NG technicians receiving disability retirement PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician Disability preference. Click here to obtain a copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist. 6. Retained Grade PPP Eligible: Retained Grade PPP applicants, must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Retained Grade PPP Self-Certification Checklist to verify your eligibility for Retained Grade preference. Click here to obtain a copy of the Retained Grade PPP Self-Certification Checklist. WARNING: Failure to submit a complete application package including any required documentation by 11:59 PM (EST) , 12/24/2025 or at the time of application for announcements with an extended closing date, may result in an ineligible rating and loss of consideration. To verify that your application is complete, log into your USAJOBS account, select Application Status and More Information. The Details page will display the status of your application. It is the applicant's responsibility to verify that information entered, uploaded, or faxed is received, legible and accurate. HR will not modify answers submitted by an applicant. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. How to Apply Help To apply for this position, you must provide a complete Application Package. See required documents below. Click 'Apply Online' to create an account or log in to your existing USAJOBS account. 1. Follow the prompts to complete the application and upload required documents. 2. Please ensure you click the Submit My Answers button to submit your application. 3. Check application status by logging into your USAJOBS account, clicking Application Status, then More Information for this position. Return to an incomplete application by logging into your USAJOBS account and clicking Update Application in the vacancy announcement. You must re-select your resume and other documents from your USAJOBS account or your application will be incomplete. Agency contact information HR Customer Care Center Phone ************** Email ************************************************ Address DFAS - ENTERPRISE SOLUTIONS AND STANDARDS 8899 E. 56th Street Indianapolis, IN 46249 US Next steps The resume you submit will be used to assess your qualifications for the job and to identify the best-qualified applicants to be referred to the hiring manager for further consideration and possible interviews. We will notify you of the outcome after each of these steps is completed. After making a tentative job offer, we will conduct a suitability/security background investigation.. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help You must provide a complete Application Package which includes: 1. Resume: A two-page maximum resume is required. Applicant guidance on the two-page resume requirement may be found at **************************************************************************************************************************************** or at ******************************************************************** Your resume must demonstrate the quality of your work as it relates to the experience requirements outlined in the job announcement. 2. Transcripts and/or Certifications: All applicants to include current agency employees, must submit proof of education if the job announcement requires education to meet the basic qualification requirements, or if substituting education to meet the specialized experience requirements. For additional information on acceptable documents, click here Transcripts and Certifications. All applicants to include current agency employees/contractors must also document your education and/or certifications in your resume. To be creditable, education must have been obtained in an accredited college or university recognized by the U.S. Department of Education. Other Supporting Documents. The following supporting documents are ONLY required if applicable to your personal qualifications or status. They must be received by the closing date of the announcement 1. SF-50: Current and former federal employees, including those currently working for the agency, must submit their SF-50 (Notification of Personnel Action) reflecting their highest grade held on a permanent basis for at least 52 weeks, tenure, and appointment type. Failure to provide this document may result in disqualification. 2. Cover Letter: You may submit a cover letter which will be forwarded to the selecting official with your resume. Your cover letter will not be used to verify your qualifications or eligibility. 3. Military Spouse Preference (MSP) Eligible: Military Spouse Preference applicants, must be selected and placed at the highest grade level for which they have applied and been determined best qualified up to and including the full performance level. You must include a completed copy of the Military Spouse PPP Self-Certification Checklist dated within 30 days along with the documents identified on the checklist to verify your eligibility for Military Spouse Preference. Click here to obtain a copy of the Military Spouse PPP Self-Certification Checklist. 4. Military Reserve (MR) and National Guard (NG) Technicians PPP Eligible: MR and NG technicians PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician preference. Click here to obtain a copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist. 5. Military Reserve (MR) and National Guard (NG) Technicians Receiving Disability Retirement PPP Eligible: MR and NG technicians receiving disability retirement PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician Disability preference. Click here to obtain a copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist. 6. Retained Grade PPP Eligible: Retained Grade PPP applicants, must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Retained Grade PPP Self-Certification Checklist to verify your eligibility for Retained Grade preference. Click here to obtain a copy of the Retained Grade PPP Self-Certification Checklist. WARNING: Failure to submit a complete application package including any required documentation by 11:59 PM (EST) , 12/24/2025 or at the time of application for announcements with an extended closing date, may result in an ineligible rating and loss of consideration. To verify that your application is complete, log into your USAJOBS account, select Application Status and More Information. The Details page will display the status of your application. It is the applicant's responsibility to verify that information entered, uploaded, or faxed is received, legible and accurate. HR will not modify answers submitted by an applicant. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible. At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach & Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Primary Purpose The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency. Key Responsibilities * Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others. * Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms. * Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models. * Scale forecasting methodology and drive increased accuracy and flexibility. * Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity. * Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models. * Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs. * Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership. * Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility. * Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies. Qualifications * Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred). * 3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role. * Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn). * Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures. * Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance. * Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders. * Proven ability to thrive in fast-paced, cross-functional environments. * Ability to work with ambiguity and prioritize requests and multiple stakeholders. * Knowledge of retail operations, merchandising, and supply chain processes is a plus. Our Competencies for All Employees * Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. * Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. * Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. * Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. * Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. * Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. * Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers * Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. * Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. * Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Americans with Disabilities Act (ADA) Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at ************** or ****************************** Visit Tapestry, Inc. at ************************ Work Setup: HYBRID #LI-HYBRID BASE PAY RANGE $130,000.00 TO $145,000.00 Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits. Req ID: 121007

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you'll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You'll uncover user behavior patterns, operational performance insights, and commercial opportunities - all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we're making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do Product & Customer Analytics You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights. You'll identify friction points and areas of opportunity across key user journeys. You'll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes. Reporting & Visualization You'll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams. You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making. Data Infrastructure & Collaboration You'll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection. You'll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization. What We're Looking For You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment. You hold at least a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures. You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization. You're familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms. You're familiar with using Excel or Google Sheets for ad hoc analysis and data exploration. You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts. You know how to break down complex business problems into structured analyses. You are skilled at identifying trends, patterns, and outliers in data to uncover key insights. You can clearly communicate findings-both in writing and verbally-to technical and non-technical stakeholders alike. Nice to have: You've worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers. What you'll get Ownership & Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R&R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work EnvironmentThis role is 3 days a week (Tues - Thursday) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions. Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at ***************. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Science is at the core of Online's business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are. We will be happy if you join our work So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! Location This role will be based in the United States (Remote).

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Via is using technology to transform transportation around the world. From changing a single person's daily commute to reducing humanity's collective environmental footprint - we've got huge goals. As a Principal Data Scientist - Advanced ML and Optimization, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via. What You'll Do: Use optimization theory and/or reinforcement learning and/or graph-based methods to improve transportation networks. Own projects end-to-end, including data querying and cleaning, model/algorithm development, model/algorithm deployment, and, when necessary, building proof-of-concept web apps that leverage your models/algorithms. Hone your presentation and communication skills by giving regular reports on your progress and findings. Who You Are: Have a Master's or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement. Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset. Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function. Have completed 2+ projects that utilized optimization, reinforcement learning, and/or graph-based methods in either an academic or industry environment. Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics. Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously. Can think on your feet and are curious, coachable, and self-motivated. Are an extraordinary communicator with demonstrated writing, editing and visualization skills What Catches Our Eye: Prior experience with SQL is a plus. Prior experience with graph-neural networks is a plus. Authorship of one or more high-impact publications is a plus. Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus. Compensation and Benefits: Final salary will be determined by the candidate's experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $125,000-$165,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We're Via, and we build technology that changes the way the world moves. We're driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you're excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn't align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

About the Team OpenAI's User Operations organization is building the data and intelligence layer behind AI-assisted operations - the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for “agent-first” operations across OpenAI. About the Role As a Data Scientist on User Operations, you'll design the models, metrics, and experimentation frameworks that power OpenAI's human-AI collaboration loop. You'll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You'll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Why it matters Every conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI. In this role, you will: Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails. Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction. Develop predictive and statistical models that improve how OpenAI's support systems automate, measure, and learn from user interactions. Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems. Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders. Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way Contribute to establishing data science standards and best practices in an AI-native operations environment. Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: 10+ years of experience in data science roles within product or technology organizations. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation. Proven experience designing and interpreting experiments and making statistically sound recommendations. Experience building data systems or pipelines that power production workflows or ML-based decisioning. Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Strong communication skills and the ability to translate complex data into stories for non-technical partners. Nice-to-haves: Familiarity with large language models or AI-assisted operations platforms. Experience in operational automation or customer support analytics. Background in experimentation infrastructure or human-AI interaction systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

JobID: 210687381 JobSchedule: Full time JobShift: Day Base Pay/Salary: New York,NY $142,500.00-$210,000.00; Jersey City,NJ $142,500.00-$210,000.00 Join our Private Bank Business Intelligence team and help shape the future of data-driven decision-making. As a Data Scientist, you will have the opportunity to drive impactful business strategies and optimize client outcomes through advanced analytics. We offer a collaborative environment focused on innovation, career growth, and continuous learning. Your expertise will enable us to deliver actionable insights and foster a culture of data excellence. Be part of a team where your skills and ideas make a difference. As a Data Scientist in the Business Intelligence team within JPMorgan Private Bank, you will lead analytical initiatives that influence business strategy and drive growth. You will design, build, and deploy predictive models and analytical solutions using both internal and external datasets. Working closely with business, sales, and marketing leaders, you will embed data science into our decision-making framework. You will help identify opportunities for improvement and innovation, supporting our mission to deliver exceptional client outcomes. Your work will directly impact the team's ability to optimize sales productivity and business development efforts. The Business Intelligence team is dedicated to leveraging data to enhance sales productivity and inform strategic decisions. You will collaborate with engineering and technology partners to ensure robust data infrastructure and governance. Your role will include sourcing and integrating new data, maintaining high standards of data quality, and sharing technical knowledge across the team. We value strong communication skills and the ability to translate complex analytics into clear recommendations. This is an exciting opportunity to join a high-performing team in a leading global financial institution. Job responsibilities * Work with cross-functional teams to deliver impactful data science solutions * Design, develop, and deploy machine learning models and advanced analytics * Apply statistical analysis and predictive modeling to extract insights from complex datasets * Conduct exploratory data analysis to identify trends and opportunities * Communicate findings and recommendations through visualizations and presentations * Identify, evaluate, and acquire data from internal and external sources * Establish and maintain data partnerships and vendor relationships * Assess data quality and reliability before integration * Collaborate with engineering teams to implement scalable data pipelines * Ensure data governance and security protocols across integration processes * Document technical specifications and integration processes for compliance Required qualifications, capabilities, and skills * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field * Three years of experience in data science, machine learning, or advanced analytics roles * Advanced proficiency in Python and SQL for data extraction, manipulation, and analysis * Experience with data visualization tools such as Tableau or Power BI * Strong analytical and problem-solving abilities with a proven ability to deliver actionable business insights Preferred qualifications, capabilities, and skills * Master's degree in Analytics, Statistics, Data Science, Mathematics, or related field * Previous experience in financial services or wealth management * Knowledge of advanced analytics techniques including machine learning and predictive modeling * Familiarity with cloud-based analytics platforms such as AWS, Azure, or Google Cloud

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.How will you contribute? Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms. Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication). Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities Data annotation and quality review Exploratory data analysis and model fail state analysis Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards. Client/prospect guidance in machine learning model and analytic fine-tuning/development processes Provide guidance to junior team members on model development and EDA Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures Continued self-led personal development What will you bring? Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…) Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming) Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…) Knowledge of NLP transfer learning, including word embedding models (glo Ve, fast Text, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.) Experience with natural language processing toolkits like NLTK, spa Cy, Nvidia NeMo Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes Familiarity with Deep Learning techniques for NLP. Familiarity with LLMs - using ollama & Langchain Excellent verbal and written skills Proven collaborator, thriving on teamwork Preferred Qualifications Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field Familiarity with cloud computing platforms (AWS, GCS, Azure) Experience with automated supervision/surveillance/compliance tools About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team's mission is to fuel Airtable's growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions. We are looking for a Data Scientist to work directly with Airtable's business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success. What you'll do Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices. Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.. Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight. Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products. Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization. Who you are Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders. Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR) Familiar with CRM platforms (i.e., Salesforce) Technical Proficiency: 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery 6+ years of experience working with Python or R for analytics or data science projects 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc. Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design Hands-on experience with batch LLM pipeline is preferred Excellent communication skills to present findings to both technical and non-technical audiences. Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$179,500-$221,500 USDFor all other work locations (including remote), the base salary range for this role is:$161,500-$199,300 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems. We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation. What you'll do: Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner's shopping experience. Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. Mentor and up-level junior data scientists on the team. What we're looking for: 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. Strong interest and experience in recommendation systems and causal inference. Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark). Ability to work independently and drive your own projects. Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners. A team player eager to partner with cross-functional partners to quickly turn insights into actions. Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities Analyze and Monitor Network Performance Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. Modeling & Optimization Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. Reporting & Governance Develop periodic performance and reliability reports for customers, assisting in presentation creation Produce regular and ad hoc reports to monitor compliance with established operating parameters. Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. Cross-Functional Collaboration Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. Innovation & Continuous Improvement Identify opportunities to streamline workflows and automate recurring analyses. Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $131,500 - $177,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement “Know Your Rights: Workplace Discrimination is Illegal” Poster The "EEO Is The Law" Poster

We are LOTTE BIOLOGICS! Delivering Therapies That Enable a Healthier World. A new company, built on 80 years of tradition. We embody our core values of being Inspired by Science, Embracing Diversity, Fostering Talent, and Connecting Lives. Our mission is to be the most trusted partner in the industry, with high standards of quality and continuous innovation, to reliably deliver benefits for patients worldwide. Position Summary The Associate Data Engineer will be responsible for supporting the organization's data engineering activities, enterprise reporting through Microsoft Power BI, and help maintain IT/OT and data analytics applications. The ideal candidate will have experience in performing ELT/ETL processes using various data engineering tools, have a solid foundation of data warehousing concepts, and know how to build reports/dashboards using Microsoft Power BI. This is a hybrid-based position requiring employee presence, on site 50-100%. Duties & Responsibilities Support data engineering activities and assist with maintaining existing data integrations to various systems. Design, develop, and maintain ETL processes and data pipelines to transform data into usable information for the organization. Assist with maintaining LOTTE's Data Warehouse and Data Lake - this also includes writing solution abstracts and documenting all associated components. Implement best practices for data management, including data governance, data quality, and data security. Monitor and optimize data workflows to ensure performance and scalability. Troubleshoot and resolve data-related issues promptly. Collaborate with cross-functional teams and stakeholders to gather and document business requirements for analytics solutions. Design and develop interactive reports and dashboards using Power BI - tailoring them to specific stakeholder needs. Support existing IT/OT analytic applications - assist with maintaining validated applications in an audit ready state. Generate documentation including design specifications, work instructions, and knowledge-based articles. Provide administrative support to analytical applications such as AVEVA PI, ProcessPad, JMP, InfoBatch, and eForms. Education & Experience Bachelor's degree in Data Engineering, Data Analytics, Computer Science or related Engineering and/or Analytics disciplines preferred. 1-3 years of work experience in a data engineering and/or data analytics role - Biologics production (process development and/or manufacturing), or medical devices preferred and is a plus. Proficiency with MS Office Applications Excellent problem-solving, presentation, verbal, and written communications skills Knowledge, Skills, Abilities Experience with data engineering activities, ETL/ELT processes, data integrations, and experience with APIs. Demonstrated knowledge of Data Warehousing concepts - Audits, Fact Tables, Metric Marts, and knowledge of database administration best practices. Experience in working with Azure Data Factory - Building, managing, and running pipelines. Connecting to a variety of data sources, on-prem and cloud. Knowledge of SQL - Demonstrated ability to write stored procedures, functions, create/ properly use indexes, CTEs, advanced sub-queries, views, and advanced knowledge of query performance optimization. Experienced in creating Microsoft Power BI reporting - data source modeling, DAX, and building dashboards end-to-end. Team player - open to sharing expertise with team members and learning. Effective communication skills with the ability to convey technical concepts to non-technical stakeholders. Ability to work independently with minimal supervision but provide escalation when needed. Excellent analytical and problem-solving skills. Attention to detail and personal accountability to drive success. Demonstrate good interpersonal skills, customer focus, and professionalism. Self-motivated with strong work ethic and continuous improvement mindset. Physical Demands Work within all Site Facilities, which requires one to give a high attention to detail and on occasion to properly use Personal Protective Equipment (PPE). Work Environment This position is based indoors and the employee will primarily be working with others, but also independently. This position requires employee presence, on site 50-100%. This position is a team & project-based position that will require occasional shift work, weekends, and holidays. Travel Target Bonus 8% Work Location: East Syracuse, NY New York Pay Range$60,000-$88,000 USD We are an Equal Employment Opportunity (“EEO”) Employer. We believe that women, people of color, veterans and LGBTQ communities must participate in the work we do, so we strongly encourage applications from people with these identities or who are members of underrepresented communities! If this is the work that you want to do, in a culture of inclusion and excellence with the goal of making our world to be a healthier place, then please apply today!

Job Description We are LOTTE BIOLOGICS! Delivering Therapies That Enable a Healthier World. A new company, built on 80 years of tradition. We embody our core values of being Inspired by Science, Embracing Diversity, Fostering Talent, and Connecting Lives. Our mission is to be the most trusted partner in the industry, with high standards of quality and continuous innovation, to reliably deliver benefits for patients worldwide. Position Summary The Associate Data Engineer will be responsible for supporting the organization's data engineering activities, enterprise reporting through Microsoft Power BI, and help maintain IT/OT and data analytics applications. The ideal candidate will have experience in performing ELT/ETL processes using various data engineering tools, have a solid foundation of data warehousing concepts, and know how to build reports/dashboards using Microsoft Power BI. This is a hybrid-based position requiring employee presence, on site 50-100%. Duties & Responsibilities Support data engineering activities and assist with maintaining existing data integrations to various systems. Design, develop, and maintain ETL processes and data pipelines to transform data into usable information for the organization. Assist with maintaining LOTTE's Data Warehouse and Data Lake - this also includes writing solution abstracts and documenting all associated components. Implement best practices for data management, including data governance, data quality, and data security. Monitor and optimize data workflows to ensure performance and scalability. Troubleshoot and resolve data-related issues promptly. Collaborate with cross-functional teams and stakeholders to gather and document business requirements for analytics solutions. Design and develop interactive reports and dashboards using Power BI - tailoring them to specific stakeholder needs. Support existing IT/OT analytic applications - assist with maintaining validated applications in an audit ready state. Generate documentation including design specifications, work instructions, and knowledge-based articles. Provide administrative support to analytical applications such as AVEVA PI, ProcessPad, JMP, InfoBatch, and eForms. Education & Experience Bachelor's degree in Data Engineering, Data Analytics, Computer Science or related Engineering and/or Analytics disciplines preferred. 1-3 years of work experience in a data engineering and/or data analytics role - Biologics production (process development and/or manufacturing), or medical devices preferred and is a plus. Proficiency with MS Office Applications Excellent problem-solving, presentation, verbal, and written communications skills Knowledge, Skills, Abilities Experience with data engineering activities, ETL/ELT processes, data integrations, and experience with APIs. Demonstrated knowledge of Data Warehousing concepts - Audits, Fact Tables, Metric Marts, and knowledge of database administration best practices. Experience in working with Azure Data Factory - Building, managing, and running pipelines. Connecting to a variety of data sources, on-prem and cloud. Knowledge of SQL - Demonstrated ability to write stored procedures, functions, create/ properly use indexes, CTEs, advanced sub-queries, views, and advanced knowledge of query performance optimization. Experienced in creating Microsoft Power BI reporting - data source modeling, DAX, and building dashboards end-to-end. Team player - open to sharing expertise with team members and learning. Effective communication skills with the ability to convey technical concepts to non-technical stakeholders. Ability to work independently with minimal supervision but provide escalation when needed. Excellent analytical and problem-solving skills. Attention to detail and personal accountability to drive success. Demonstrate good interpersonal skills, customer focus, and professionalism. Self-motivated with strong work ethic and continuous improvement mindset. Physical Demands Work within all Site Facilities, which requires one to give a high attention to detail and on occasion to properly use Personal Protective Equipment (PPE). Work Environment This position is based indoors and the employee will primarily be working with others, but also independently. This position requires employee presence, on site 50-100%. This position is a team & project-based position that will require occasional shift work, weekends, and holidays. Travel Target Bonus 8% Work Location: East Syracuse, NY New York Pay Range$60,000-$88,000 USD We are an Equal Employment Opportunity ("EEO") Employer. We believe that women, people of color, veterans and LGBTQ communities must participate in the work we do, so we strongly encourage applications from people with these identities or who are members of underrepresented communities! If this is the work that you want to do, in a culture of inclusion and excellence with the goal of making our world to be a healthier place, then please apply today!

The Company At Utica National Insurance Group, our 1,300 employees nationwide live our corporate promise every day: to make people feel secure, appreciated, and respected. We are an "A" rated, $1.7B award-winning, nationally recognized property & casualty insurance carrier. Headquartered in Central New York, we operate across the Eastern half of the United States, with major office locations in New Hartford, New York and Charlotte, and regional offices in Boston, New York City, Atlanta, Dallas, Columbus, Richmond, and Chicago. Job Summary Do you have a passion for numbers, risk analysis, and innovative problem-solving? As an Actuarial Analyst on our Personal Lines team, you'll leverage standard ratemaking techniques, support rate filings, and learn advanced actuarial methods to help shape our pricing strategy. This role offers a clear path for growth through Casualty Actuarial Society exams and hands-on training, making it an ideal opportunity for individuals seeking to build a robust actuarial career. What will you do * Ratemaking: Prepare rate indications and experience exhibits using standard actuarial methodologies. * Rate Filings: Provide impact analyses and actuarial support for rate filings. * Data Extraction: Develop skills to extract and manipulate data using industry-standard software. * Professional Development: Enhance actuarial expertise through exam progress (CAS) and on-the-job training. * Cross-Functional Collaboration: Work with internal teams to ensure accurate data interpretation and consistent actuarial practices. * Additional Duties: Contribute to ad-hoc projects, maintain compliance with corporate policies, and continually refine best practices. What will you need * Education: Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field preferred. Successful completion of 1-2 CAS exams is a plus. * Experience Analyst : Actuarial internship or relevant business experience preferred * Technical Skills: Strong analytical and quantitative skills, proficiency in Excel, and familiarity with data manipulation tools. * Soft Skills: Effective communication, detail-oriented mindset, and eagerness to learn and adapt. Salary Range: $63,000 - $ 80000 (Analyst I) The final salary to be paid and position within the internal salary range is reflective of the employee's work experience, geographic location, education, certification(s), scope and responsibilities in the role, and additional qualifications. Benefits: We believe strongly that talented people are core to our success and are attracted to companies that provide competitive pay, comprehensive benefits packages, career advancement and challenging work opportunities. We offer a Comprehensive Benefits Plan for full time employees that include the following: * Medical and Prescription Drug Benefit * Dental and Vision Benefits * Life Insurance and Disability Benefits * 401(k) Profit Sharing and Investment Plan * Health Savings Account (HSA) & Flexible Spending Accounts * Tuition Assistance, Training, and Professional Designations * Company-Paid Family Leave & Adoption/Surrogacy Assistance * Voluntary Benefits (Accident, Critical Illness, Legal, Pet Insurance, etc.) * Student Loan Refinancing Services * Care.com Membership with Back-up Care * Paid Volunteer Day & Matching Gifts Program * Wellness Programs and more Additional Information: This position is a full-time salaried, exempt (non-overtime eligible) position. Utica National is an Equal Opportunity Employer. Apply now and find out what it's like to be a part of an amazing team, thrive in an exciting environment, and work for a company you can be proud of. #LI-MR1

About the Team OpenAI's User Operations organization is building the data and intelligence layer behind AI-assisted operations - the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for "agent-first" operations across OpenAI. About the Role As a Data Scientist on User Operations, you'll design the models, metrics, and experimentation frameworks that power OpenAI's human-AI collaboration loop. You'll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You'll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Why it matters Every conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI. In this role, you will: * Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails. * Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction. * Develop predictive and statistical models that improve how OpenAI's support systems automate, measure, and learn from user interactions. * Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems. * Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders. * Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way * Contribute to establishing data science standards and best practices in an AI-native operations environment. * Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: * 10+ years of experience in data science roles within product or technology organizations. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Experience building data systems or pipelines that power production workflows or ML-based decisioning. * Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Strong communication skills and the ability to translate complex data into stories for non-technical partners. Nice-to-haves: * Familiarity with large language models or AI-assisted operations platforms. * Experience in operational automation or customer support analytics. * Background in experimentation infrastructure or human-AI interaction systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems. We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the "why". The results of your work will influence our development teams, and drive product innovation. What you'll do: * Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner's shopping experience. * Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. * Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. * Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. * Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. * Mentor and up-level junior data scientists on the team. What we're looking for: * 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. * Strong interest and experience in recommendation systems and causal inference. * Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark). * Ability to work independently and drive your own projects. * Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners. * A team player eager to partner with cross-functional partners to quickly turn insights into actions. * Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.