Data science internship jobs in Schenectady, NY

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

SummaryCome and join our powerful, unified force with the energy to change the world. Our mission is BIG. Our TRANSFORMATION is key - bringing the right businesses together to LEAD the ENERGY TRANSITION. Our TEAM is ready. Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. Building on over 130 years of experience tackling the world's challenges, GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. GE Vernova helps customers power economies and deliver electricity that is vital to health, safety, security, and improved quality of life.Job Description Position Overview: As an Advanced Controls Engineer, you will join a multidisciplinary team addressing the complex challenges of integrating AI data centres with power plants and electrical grids. You will develop adaptive and predictive control solutions to enhance operational resilience and stability across interconnected systems, using advanced machine learning and model-based engineering approaches. Key Responsibilities: Collaborate with GE Vernova's Controls & Electrical Systems teams and MIT partners to design and implement innovative control strategies for variable grid strength and dynamic load demands. Develop and leverage machine learning models utilizing operational data to build accurate system models and enable predictive control based on real-time feedback. Perform estimation of system parameters using plant data, electrical models, physics-based simulations, and advanced control algorithms. Analyse and address electrical and mechanical challenges arising from AI data center integration with power plants and grids. Contribute to scenario development for adapting power generation controls to evolving grid conditions. Present findings, methodologies, and outcomes to internal stakeholders and external collaborators, including MIT research teams. Required Qualifications: Currently pursuing a master's in electrical engineering, Mechanical Engineering, Controls Engineering, Computer Science, or a related field. Minimum 4.0/5.0 GPA, without rounding. Foundational knowledge and Demonstrated interest on advanced control concepts for power systems (academic, research, or project-based). Exposure to machine learning techniques applied to system modelling and control (coursework, academic projects, or research experience). Strong analytical and problem-solving skills, with experience in data-driven modelling, simulation, or algorithm development as part of studies or projects. Ability to work collaboratively in multidisciplinary and research-driven environments. Proficiency in programming languages such as C/C++, Python, R, or similar, for algorithm development, data analysis, and simulation. Desired Skills: Exposure to power plant control systems, grid modelling, and turbine control operational challenges. Familiarity with AI data Center load profiles and their impact on electrical grid and power plant operations. Working knowledge of model-based engineering and real-world power system simulation tools. Strong communication and presentation skills for cross-functional and academic collaboration. Project Outcomes & Career Development: Lead the development of advanced controls and electrical system scenarios for variable grid strength adaptation. Gain exposure to cutting-edge research in power system control, predictive modelling, and real-time system optimization. Work directly with MIT and GE Vernova experts to address real-world challenges and deliver impactful solutions for the energy sector. Build expertise in power generation operational challenges, control techniques, and next-generation energy system integration. Benefits Available to you: Addressing the climate crisis is an urgent global priority, and at GE Vernova, we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize it. In order to meet this mission, we provide varied, competitive benefits to help support our workforce: Our Culture | GE Vernova (gecareers.com) The pay for this position ranges from $36/hr. This position is also eligible for: Relocation Assistance: Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible. Housing Allowance: Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Intern's permanent residence is at least 50 miles away from the work location. Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services GE Retirement Savings Plan (RSP) after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.) General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. Inclusion At GE Vernova, we believe in the value of your unique identity, background and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected and that they belong. Click here to learn more: ************************************************** Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

GovCIO is currently hiring for a Data Scientist to provides technical leadership in the data science domain. This position will be located in Rome, NY and will be an onsite position. **Responsibilities** Develops deployable AI/ML analytics for C5ISRT data and provides technical leadership in the data science domain. Transforms raw sensor and operational data into analyst-ready insights. Develops and deploys algorithms, use cases, and models. Supports data analytics research, development, prototyping, maturation, testing, and integration, including generating large-scale labeled datasets and developing Labeled Data Campaign Plans. Applies MLOps ecosystem tools, including NVIDIA Triton Inference servers, TensorFlow, PyTorch, ONNX, and Python. Integrates models across domains with bi-weekly evaluations and dataset challenges. Operationalizes data curation, tagging, and 'Labeling on the Line' workflows and integrates into Government-owned labeling apps and repositories. Contributes to CDRL-backed artifacts such as Detailed Analyses (A021/B021, C021). + Skills: data engineering, feature development, MLOps packaging, experiment tracking, evaluation design, metric selection, and bias/error analysis with defensible reporting. + Knowledge: MLOps at IL5/SIPR/JWICS, dataset curation at scale, evaluation pipelines for bi-weekly model submissions, MLOps ecosystem (e.g., Triton Inference Server, TensorFlow, PyTorch, ONNX, Python) for model execution, data security classifications, data lake management and data replication to/from edge systems, and algorithm rights/licensing limits in operations. **Qualifications** Bachelor's with 15+ years (or commensurate experience) Required Skills and Experience + Clearance Required:TS/SCI + Masters Degree + Working knowledge of Python Programming for ML, Cloud Computing Fundamentals, Data Curation Best Practices, Deep Learning Frameworks (TensorFlow/PyTorch), GPU Acceleration, Secure Coding Practices, C5ISRT Domain Expertise, Ethical AI/Bias Analysis + DoDD 8140 IAT Level II: (CompTIA Security+, or GSEC or ISC2 SSCP) ***PENDING CONTRACT AWARD*** \#afrl Preferred Skills and Experience AWS/Azure Certified Data Engineer or ML Specialty, Certified Analytics Professional (CAP) **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **What You Can Expect** **Interview & Hiring Process** If you are selected to move forward through the process, here's what you can expect: + During the Interview Process + Virtual video interview conducted via video with the hiring manager and/or team + Camera must be on + A valid photo ID must be presented during each interview + During the Hiring Process + Enhanced Biometrics ID verification screening + Background check, to include: + Criminal history (past 7 years) + Verification of your highest level of education + Verification of your employment history (past 7 years), based on information provided in your application **Employee Perks** At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: + Employee Assistance Program (EAP) + Corporate Discounts + Learning & Development platform, to include certification preparation content + Training, Education and Certification Assistance* + Referral Bonus Program + Internal Mobility Program + Pet Insurance + Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. **Posted Pay Range** The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $200,000.00 - USD $230,000.00 /Yr. Submit a referral to this job (******************************************************************************************************************* **Location** _US-NY-Albany_ **ID** _2025-6979_ **Category** _Data Services_ **Position Type** _Full-Time_

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

The Data Analyst and Visualization Specialist is responsible for conceptualizing the cutting-edge analytical approaches, executing the high-volume complex advanced analytics services on an ongoing basis and developing the reusable solutions. The Data Analyst and Visualization Specialist needs to identify all the possible data points to analyze and drive insights. Be a subject matter expert for assigned business unit and provide advice to business partners on the effective use of data and insights to make better business decisions. This position is a permanent remote home-based worker. Your home office does not need to be near an Allstate office, but it does need to be in the United States. This position is eligible for a monthly connectivity reimbursement to offset the costs of internet and phone expenses. Key Responsibilities: Responsible for identifying, analyzing, and interpreting trends or patterns in complex data sets Ensures a proper understanding of the customer problem and the questions that need to be answered using data in order for a customer project to succeed Collaborate with business users and analyze the data and report on provider network severity, call acceptance, call center performance, partner reporting, marketing channel effectiveness, sales analysis, customer experience, and processing the claims Translate business requirements and unstructured business issues into data analytic problems Collaborate with business users to develop, build, and implement the well governed and structured reporting capabilities for Allstate partners, agents, and consumers Manage data as a strategic asset by ensuring team provides trusted, secure, quality data Troubleshoot data quality issues Create and maintain excellent data documentation that allows the data to be understood (Metadata) and leveraged for additional use Create best practices for testing/profiling of data to ensure proper operation and accuracy Effectively communicate technical analyses and results to analytics leaders Supervisory Responsibilities: This job does not have supervisory duties. Functional Skills: Detailed knowledge of Roadside Network Operations in Insurance industry and a strong understanding of business processes, including business operations, business delivery models and business revenue models Strong communication skills Advanced data management, quality assurance and data flow skills Experience using SAS, R, SPSS or other programming language. Good Knowledge of database client software (i.e. TOAD, SQL+, SQL Developer) Experience in data extraction, data manipulation, analysis and reporting required Working knowledge of relational databases required Experience with BI tool such as Business Objects and Tableau Microsoft Office experience required Education and Experience: Bachelor's Degree or equivalent experience Allied Global Marketing is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other status protected under federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. #BCGXjob What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * 2+ years of relevant work experience * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills & ability to work collaboratively in diverse teams * Excellent verbal and written communication skills in English and local office language * Master's degree or PhD in relevant field of study TECHNOLOGIES: Programming Languages: Python #BCGXjob Additional info Professional Development We are committed to your growth. You will have ample opportunities to participate in training programs, workshops, and development initiatives. You will also benefit from coaching and mentoring to further enhance your skills and expertise. At BCG, you can explore new horizons and expand your potential. Join the Group Are you ready to take the next step in your career? Apply now and become part of a community of forward-thinkers. Here, challenges and collaboration go hand in hand, your ideas are valued, and your potential knows no bounds. Let's work together to develop innovative solutions and create a lasting impact on businesses and society. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Description About Company: Who We Are At ADP, what we do is about people. Although we have a strong history of providing solutions for human resource challenges, we strive to do more than that. We challenge ourselves to anticipate, think forward and take action in a way that empowers us to shape the changing world of work. For over 70 years, we've led the way in defining the future of business solutions. ADP is proud to be named the 2023 Fortune World's Most Admired Companies™ list again for 17 consecutive years*. We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage. Learn more about our philosophy, success factors and why companies work with ADP. About the Role: As a Data Scientist at our Information and Media Services company in New York, you will be responsible for analyzing complex data sets and developing predictive models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance. Your work will directly impact the success of our company and our clients, as you will be responsible for delivering actionable insights that drive growth and profitability. Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field 3+ years of experience in data science or a related field Strong programming skills in R and Python Experience with machine learning techniques such as random forest, neural networks, and logistic regression Experience with statistical analysis and experimental design Preferred Qualifications: Master's or PhD in Computer Science, Statistics, Mathematics, or a related field Experience with big data technologies such as Apache Spark Experience with deep learning frameworks such as TensorFlow Experience with clustering techniques Experience with data visualization tools Responsibilities: Analyze large and complex data sets using statistical and machine learning techniques to develop predictive models Collaborate with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance Design and implement experiments to test hypotheses and validate models Communicate findings and recommendations to stakeholders in a clear and concise manner Stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities Skills: As a Data Scientist, you will use your strong programming skills in R and Python to analyze large and complex data sets using statistical and machine learning techniques such as random forest, neural networks, and logistic regression. You will also have experience with statistical analysis and experimental design. In addition, you will have experience with big data technologies such as Apache Spark and deep learning frameworks such as TensorFlow. You will use your strong communication skills to clearly and concisely communicate findings and recommendations to stakeholders. Finally, you will stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities.

Quality Data Analyst Location: Saratoga Springs, NY Employment Type: Salaried full-time Shift/Schedule: Day shift Department: Quality Support Services Salary Range: $63,628.50 # $92,508.00#annually, based on experience and qualifications # About Saratoga Hospital At Saratoga Hospital, we#ve built a reputation for high-quality, compassionate care and a commitment to the health and well-being of our community. As part of the Albany Med Health System, we combine advanced technology with a deeply personal approach#creating a supportive environment for patients, staff, and providers alike. We believe that exceptional care starts with exceptional people. #About the Role We#re looking for a dedicated Quality Data Analyst to join our team and help us continue delivering the level of care our patients and families deserve. In this role, you#ll be a vital part of our administrative#team, ensuring excellent service, collaboration, and patient outcomes in a fast-paced healthcare environment. As the Quality Data Analyst, you will provide#essential leadership and support for the data management activities of the Quality Support Services department. This includes collaborating#with Ambulatory#Quality Team and Information Technology. The Quality Data Analyst will also be responsible for developing and implementing an organization-wide system for data collection, compilation of quality information, and development of reporting formats.# You will provide#data analysis support to quality management activities including clinical department meetings and quality oversight committees.# You will provide#support to performance improvement teams as requested.# The Quality Data Analyst functions as a resource to departments and process improvement teams in the areas of quality data management and statistical graphing, and performance improvement methods and tools.# Assists in risk management and regulatory activities through data analysis/trending. What You#ll Do Manages the #public reporting# (Quality Measures) program.# Supports the coordination of data information submitted to external database projects. Manages the program for required public reporting (Quality Measures) including data entry and reporting deadlines with both the vendor and those imposed by CMS, TJC, NYS and others. Liaison with the HIS and IS staff related to the management of population identification, file upload, request of necessary records and submission requirements. Liaison with the ambulatory measures team to develop overall organization wide standardized methodology for data analytics. Lead Contact person for vendor(s) and reporting entity related to program requirements.# Functions as #administrators# for data warehouses as assigned. Responsible for the oversight and internal controls for data integrity issues related to submission requirements. Assures all data quality edits and critical edits are complete within required timeframes.# Databases include but are not limited to internal file uploads, Submission Vendor, CMS Data warehouse, NYS and third-party payers. #Supports any necessary initiatives to resolve data integrity issues identified and monitors their progress.# Responsible for meeting all reporting deadlines, and coordinates with AVP in early detection of systems issues which may jeopardize meeting those requirements. Coordinates measure specification changes and required education Supports the production of organizational reports on quality data trends to departmental and hospital wide committees as requested. Deliver compassionate, patient-centered care in alignment with Saratoga Hospital values Collaborate with interdisciplinary teams to support health, healing, and service excellence Perform administrative#responsibilities with a focus on safety, quality, and efficiency Use hospital systems and tools to document care and support operations Continuously seek opportunities to improve processes and support patient and staff satisfaction Serve as a positive, professional representative of our hospital and community What You Bring Associates Degree in healthcare, business or related field required. Experience in healthcare or quality department setting preferred. Prior experience with Epic preferred.# Strong communication and teamwork skills Commitment to providing patient-first, high-quality service Comfort working in a fast-paced, collaborative environment # Why Saratoga Hospital A caring, community-focused culture rooted in teamwork and trust Supportive leadership that invests in your development and well-being Comprehensive benefits, including medical, dental, retirement plans, tuition assistance, and wellness programs. Click here to view our complete benefits guide. Opportunities to grow within the Albany Med Health System Located in beautiful Saratoga Springs, known for its vibrant community, outdoor recreation, and cultural attractions # Our Commitment We are an equal opportunity employer and strongly encourage individuals of all backgrounds and experiences to apply. If you#re passionate about healthcare and community service#even if you don#t meet every qualification listed#we#d still love to hear from you. How to Apply Click the #apply# button to submit your resume and complete our online application. Applications are reviewed on a rolling basis#apply today and discover what makes Saratoga Hospital a special place to grow your career. Quality Data Analyst Location: Saratoga Springs, NY Employment Type: Salaried full-time Shift/Schedule: Day shift Department: Quality Support Services Salary Range: $63,628.50 - $92,508.00 annually, based on experience and qualifications About Saratoga Hospital At Saratoga Hospital, we've built a reputation for high-quality, compassionate care and a commitment to the health and well-being of our community. As part of the Albany Med Health System, we combine advanced technology with a deeply personal approach-creating a supportive environment for patients, staff, and providers alike. We believe that exceptional care starts with exceptional people. About the Role We're looking for a dedicated Quality Data Analyst to join our team and help us continue delivering the level of care our patients and families deserve. In this role, you'll be a vital part of our administrative team, ensuring excellent service, collaboration, and patient outcomes in a fast-paced healthcare environment. As the Quality Data Analyst, you will provide essential leadership and support for the data management activities of the Quality Support Services department. This includes collaborating with Ambulatory Quality Team and Information Technology. The Quality Data Analyst will also be responsible for developing and implementing an organization-wide system for data collection, compilation of quality information, and development of reporting formats. You will provide data analysis support to quality management activities including clinical department meetings and quality oversight committees. You will provide support to performance improvement teams as requested. The Quality Data Analyst functions as a resource to departments and process improvement teams in the areas of quality data management and statistical graphing, and performance improvement methods and tools. Assists in risk management and regulatory activities through data analysis/trending. What You'll Do * Manages the "public reporting" (Quality Measures) program. Supports the coordination of data information submitted to external database projects. Manages the program for required public reporting (Quality Measures) including data entry and reporting deadlines with both the vendor and those imposed by CMS, TJC, NYS and others. * Liaison with the HIS and IS staff related to the management of population identification, file upload, request of necessary records and submission requirements. * Liaison with the ambulatory measures team to develop overall organization wide standardized methodology for data analytics. * Lead Contact person for vendor(s) and reporting entity related to program requirements. Functions as "administrators" for data warehouses as assigned. * Responsible for the oversight and internal controls for data integrity issues related to submission requirements. Assures all data quality edits and critical edits are complete within required timeframes. Databases include but are not limited to internal file uploads, Submission Vendor, CMS Data warehouse, NYS and third-party payers. Supports any necessary initiatives to resolve data integrity issues identified and monitors their progress. Responsible for meeting all reporting deadlines, and coordinates with AVP in early detection of systems issues which may jeopardize meeting those requirements. * Coordinates measure specification changes and required education * Supports the production of organizational reports on quality data trends to departmental and hospital wide committees as requested. * Deliver compassionate, patient-centered care in alignment with Saratoga Hospital values * Collaborate with interdisciplinary teams to support health, healing, and service excellence * Perform administrative responsibilities with a focus on safety, quality, and efficiency * Use hospital systems and tools to document care and support operations * Continuously seek opportunities to improve processes and support patient and staff satisfaction * Serve as a positive, professional representative of our hospital and community What You Bring * Associates Degree in healthcare, business or related field required. Experience in healthcare or quality department setting preferred. Prior experience with Epic preferred. * Strong communication and teamwork skills * Commitment to providing patient-first, high-quality service * Comfort working in a fast-paced, collaborative environment Why Saratoga Hospital * A caring, community-focused culture rooted in teamwork and trust * Supportive leadership that invests in your development and well-being * Comprehensive benefits, including medical, dental, retirement plans, tuition assistance, and wellness programs. Click here to view our complete benefits guide. * Opportunities to grow within the Albany Med Health System * Located in beautiful Saratoga Springs, known for its vibrant community, outdoor recreation, and cultural attractions Our Commitment We are an equal opportunity employer and strongly encourage individuals of all backgrounds and experiences to apply. If you're passionate about healthcare and community service-even if you don't meet every qualification listed-we'd still love to hear from you. How to Apply Click the 'apply' button to submit your resume and complete our online application. Applications are reviewed on a rolling basis-apply today and discover what makes Saratoga Hospital a special place to grow your career.

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.

Team: Sales and Marketing Type: Full-time

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Department/Unit: Nursing Resources Work Shift: Day (United States of America) Salary Range: Provides comprehensive administrative and technical support within the Department of Nursing Resources. Responsibilities include scheduling system administration, ensuring data integrity across financial, productivity, and operational measures, and managing data collection and analysis from multiple sources to identify trends and support departmental goals. The role serves as a liaison among Nursing, Finance, Payroll, Human Resources, Information Services, and other stakeholders throughout Albany Medical Center. Additional duties include generating and presenting reports, maintaining and administering data-based systems and processes, and providing user education and support to ensure effective system utilization and communication across departments. This is in-person position. Location: Albany, New York. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Serves as an expert in data sources and current reporting relating to the needs of Nursing Resources. Serves as both a consultant and technical expert for novel analytical and operational projects as needed. Provides maintenance for current reporting and operational projects implemented within Nursing Resources. Actively participates in continuing education relating to data analysis, including adoption of new methodologies and technologies. Participates in regular meetings with leadership within nursing, allowing for better understanding of operational needs and practices. Serves as an administrator and consultant for nursing scheduling and workforce management systems, ensuring seamless integration with payroll, human resources, and other operational systems. Collaborates closely with Information Systems and Payroll teams on the full system lifecycle, including design, development, testing, implementation, optimization, and ongoing maintenance. Provides expertise in system functionality, assists with workflow analysis, develops process improvements, and delivers training and support to end users to ensure accurate, efficient, and compliant scheduling and workforce management practices. Serves as the System Administrator for the scheduling system(s) with assisting system configuration, monitoring system performances, diagnosing/correcting problems, and interacting with the vendors and internal resource groups when needed. Provides training and education for scheduling systems for users as necessary. Develops and shares best practices in scheduling and staffing management with unit managers and schedulers. Assists in developing training and educational materials to support users and enhance awareness and effective use of the scheduling system. Assists with Central Staffing Office functions by supporting the development of schedule templates and helping to balance schedules in response to changes Works in a professional partnership with unit managers, Payroll, HR, Data Analytics, and IS to ensure pay practice administration compliant with the applicable policies and pay program guidelines and conducts auditing as needed. Works with managers and employees for resolution of time and attendance and scheduling issues. Serves as an expert in the management and operationalization of contracted temporary workers within nursing departments. Includes ownership of related systems, processes, and technical needs. Processes delegated Workday transactions- Job requisitions and One Time Payment Assists in annual budget planning by preparing historical key metrics, benchmark data and tracking budget changes. Produces and distributes various productivity reports on a regular basis and based on ad-hoc requests. Assists in tracking Under $50K capital purchases and prepares a quarterly status report for Nursing Leadership. Provides quarterly data for Action OI reporting and distributes department reports quarterly and annually for Nursing organization. Monitors data flow and mapping tables among various systems to ensure integrity of data. Actively participates in establishing goals and strategies annually to enhance the functions and the scopes of the Nursing Resources Department. Maintains strict confidentiality of all employee information. Assists with process improvement activities to maximize efficiencyies, effectiveness, and quality of work. Acts in accordance with the standards of NYS Department of Health and Joint Commission of Accreditation Hospitals. Evaluates own performance in relation to role responsibilities in conjunction with supervisor. Other duties as assigned. Education requirement - Computer Science major or related fields with coding skills Skills - database management, statistical analysis and visualization of analyzed data Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

2026 Special Executions Group Analyst / Data Analytics Analyst (NY or SF) Financial Technology Partners (“FT Partners”) is seeking Analysts for its Special Executions Group in July 2026. FT Partners is one of the most successful boutique investment banks on Wall Street. Headquartered in San Francisco with offices in NYC and London, FT Partners has advised on some of the most significant transactions in the Financial Technology (“FinTech”) sector. FT Partners offer a full suite of financial and strategic advisory services, including M&A advisory, private capital raising and capital markets advisory. The FinTech sector is a dynamic industry that encompasses the convergence of financial services and technology. FT Partners is a 250+ banker global firm that prides itself on having an extremely collegial and energetic culture. Role Description SpecialX is FT Partners' quantitative and analytical engine. We work alongside the investment banking teams, but our focus is different. We go deep into the numbers to make sure every analysis we produce can stand up to the scrutiny a private equity investor would apply in diligence. We dive into company data, financials, and operating metrics, analyzing things like customer cohorts, sales efficiency, retention, and unit economics. Our goal is to prove the story behind the numbers and make sure every forecast and KPI is credible and defensible. While investment bankers manage the broader process, SpecialX focuses on the analytical depth behind every deal. It is the ideal team for people who love problem-solving, financial analysis, and data-driven work in Excel or Python. In short, SpecialX is where financial analysis meets data analytics, and we make sure every client goes to market with numbers that can stand up to the toughest buyer diligence. We are seeking Analysts for two teams within SpecialX: Core SpecialX team members work alongside investment bankers & clients to provide leadership and support across all quantitative areas, including modeling excellence, growth initiative validation, key KPI analysis, and broad financial strategy across deals. SpecialX data analysts work with investment bankers & clients by leveraging sophisticated tools to analyze complex data sets and present critical analyses in support of core investment theses and growth initiatives. General Qualifications Graduation date between December 2025 - June 2026 Minimum 3.6 GPA required For Core SpecialX Analyst role: Finance or accounting degree strongly preferred For SpecialX Data Analyst role: Data Science, Quantitative Finance, Analytics, or other quantitative major strongly preferred. (Note: Experience with SQL, Python, R, PowerPivot, Tableau, or Alteryx strongly preferred) 1400 SAT / 30 ACT strongly preferred Permanent U.S. work authorization required. FT Partners will not sponsor applicants for work visas at application or in the future Business and Technical Skills Proficiency in Excel Strong data analytics and financial analysis skills Excellent problem solving and analytic ability Excellent quantitative and technical skills Strong quantitative and technical skills Strong work ethic and a drive Attention to detail Communications Strong writing and verbal communication skills Ability to articulate methods and results of complex analyses Ability to manage multiple high priority tasks and initiatives Prepares high impact materials Participates effectively in both internal and external meetings Team Player Able to collaborate across teams and levels, both internally and externally Builds trust in relationships with all team members High-level of engagement and commitment to the firm's goals and organizational success Self-motivated and entrepreneurial Why FT Partners? Managing Partner and Managing Directors formerly of Goldman Sachs, JP Morgan, Evercore and Barclays Award-winning execution; Investment Bank of the Year / Boutique of the Year Awards (among many others) Executing both billion dollar and early stage / high-growth VC transactions Excellent career path, strong and competitive compensation Unparalleled deal flow with premier client base Access to world-class executives at high-growth companies Dominant footprint in the one of largest sectors: financial technology Top-notch financial sponsor relationships Close-knit, rapidly growing team Selected transactions include advising: Deribit's $4.3 billion Sale to Coinbase Divvy's $2.5 billion Sale to Bill.com AvidXchange's $2.2 billion Sale to TPG & Corpay GreenSky's $2.2 billion Sale to Goldman Sachs Truebill's $1.3 billion Sale to Rocket Companies Revolut's $1.3 billion Financing at a $33 billion Valuation Finicity's $1 billion Sale to Mastercard Intermex's $500 million Sale to Western Union SpotOn's $300 million Series F Financing at a $3.6 billion Valuation Bilt's $250 million Financing at a $10.75 billion Valuation Lumin Digital's $200 million Growth Financing Stash's $146 million Series H Financing CloudWalk's $150 million Financing at a ~$2.2 billion Valuation To ensure a fair and transparent recruitment process, please do not use GenAl tools during interviews. Failure to adhere to these guidelines may result in disqualification from the recruitment process. The annual salary for this position at commencement of employment is expected to be $100,000/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Inclusion and Equal Opportunity Employment: Financial Technology Partners is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors.

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: 8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$228,800-$286,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Marketing Science team embeds data scientists directly within our media buying and activation operations. You will be at the forefront of creating innovative analytical approaches to analyze and improve media buying strategies and outcomes for our diverse clientele. A key responsibility will be to design, develop, and deploy data-driven applications and tools that empower our media activation teams, streamlining their workflows and enhancing their effectiveness. Furthermore, you will contribute your expertise to our media consulting practice, providing data-backed insights and strategic solutions to external clients. We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative solutions using advanced statistical modeling, machine learning, optimization, and potentially Generative AI techniques. While direct experience in media is a strong plus, a passion for applying cutting-edge data science to solve complex marketing and media challenges is crucial. This role offers a unique opportunity to blend deep analytical skills with practical marketing acumen to drive significant impact. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, using advanced methods to revolutionize media buying and activation. WHAT YOU'LL DO Analyze complex media buying data to identify trends, insights, and opportunities for performance improvement and optimization. Develop, implement, and refine innovative analytical models, algorithms, and frameworks to enhance media buying strategies, targeting, and ROI. Design, build, test, and deploy robust data-driven applications and tools to automate processes, improve efficiency, and support decision-making for the media activation team. Collaborate closely with media buyers, strategists, engineers, and account teams to understand their challenges and translate business needs into effective data science solutions. Contribute to media consulting engagements by delivering data analysis, predictive modeling, strategic recommendations, and client-facing presentations. Develop and apply a range of techniques to improve Known IP and create valuable tools for Known's internal teams and clients. Work with other data scientists and engineers to productionalize new tools and analytical solutions, ensuring scalability and reliability. Stay current with advancements in Data Science, AI, media analytics, and ad technology, identifying opportunities for their application in the marketing domain. WHO YOU ARE AND WHAT YOU HAVE A Bachelors, Masters or PhD in a STEM field, or equivalent practical experience. Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning. Proven ability to translate complex data into actionable business insights, particularly within a marketing or media context. Strong understanding of marketing principles and media buying/activation processes. Direct experience in media analytics, ad-tech, or a similar marketing-focused data science role is highly desirable. Experience utilizing Python and SQL for data manipulation, analysis, and model building. Experience building data science software, analytical workflows, or data-driven applications. 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience in data science or analytics. 1+ years of experience building data science software or applications, ideally including those leveraging AI/ML models. Academic projects, internships, or personal projects demonstrating application of modeling techniques to solve real-world problems are preferred. Skills, abilities, and knowledge: Superb communication and presentation skills, with an ability to convey complex technical concepts to non-technical audiences (including media teams and clients). An ability to translate business challenges from the media buying, activation, and consulting domains into quantitative problems, and solve them effectively using appropriate data science methodologies and tools. A strong blend of data science expertise and marketing/media acumen Proven ownership of projects taken from ideation to completion and impact. A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work. Experience working collaboratively on a tech team, with familiarity in cloud technologies (e.g., AWS, GCP, Azure), version control (e.g., Git), etc. Competencies: Ability to prioritize time, work and effort while multitasking on multiple projects. Desire to mentor and teach others. Collaborative attitude. Self motivated and exhibits initiative. Willing & able to learn quickly. Abundant intellectual curiosity and integrity. SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K-$130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role Overview We're looking for a Data Scientist to supercharge our data-driven strategy and ensure we're building the right things at the right time. You'll be embedded in the heart of our product and engineering teams, shaping insights that guide strategy, uncover user behavior, and optimize execution across Fun.xyz. This role is perfect for someone who thrives in fast-paced, ownership-driven environments, loves solving open-ended problems, and is excited about the potential of blockchain data.Responsibilities Design and build scalable data models to analyze transaction flows and user behavior Support the optimization of data transformations, pipelines, and workflows Work directly with the CFO to provide insights on the business' performance Maintain data quality, observability, and reproducibility across analytical systems Partner with engineers and product teams to deliver actionable, production-grade insights Run experiments, apply causal inference, and drive evidence-based product decisions Translate complex data into clear stories for both technical and non-technical stakeholders Requirements Proficiency in Python and SQL (5+ years) Strong background in statistical analysis, experimentation, and causal inference Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.) Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar) Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructure Nice To Have Experience analyzing large-scale transaction or financial datasets Hands-on experience with ML/AI libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow) Familiarity with market dynamics (spreads, slippage, liquidity, etc.) A track record of thriving in ownership-heavy, fast-moving environments A problem-solving approach that blends rigor, creativity, and first-principles thinking

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.