Data scientist jobs in Indiana

Apply now Work Type: Office Working Employment Type: Permanent Job Description: This role is a role within the Deposit pricing analytics team in SCMAC. The primary focus of the role is: * To develop AI solutions that are fit for purpose by leveraging advanced data & analytical tools and technology with in WRB. The individual will be responsible for end-to-end analytics solution development, deployment, performance assessment and to produce high-quality data science conclusions, backed up by results for WRB business. * Takes end-to-end responsibility for translating business question into data science requirements and actions. Ensures model governance, including documentation, validation, maintenance, etc. * Responsible for performing the AI solution development and delivery for enabling high impact marketing use cases across products, segments in WRB markets. * Responsible for alignment with country product, segment and Group product and segment teams on key business use cases to address with AI solutions, in accordance with the model governance framework. * Responsible for development of pricing and optimization solutions for markets * Responsible for conceptualizing and building high impact use cases for deposits portfolio * Responsible for implementation and tracking of use case in markets and leading discussions with governance team on model approvals Key Responsibilities Business * Analyse and agree on the solution Design for Analytics projects * On the agreed methodology develop and deliver analytical solutions and models * Partner creating implementation plan with Project owner including models benefit * Support on the deployment of the initiatives including scoring or implementation though any system * Consolidate or Track Model performance for periodic model performance assessment * Create the technical and review documents for approval * Client Lifecycle Management ( Acquire, Activation, Cross Sell/Up Sell, Retention & Win-back) * Enable scientific "test and learn" for direct to client campaigns * Pricing analytics and optimization * Digital analytics including social media data analytics for any new methodologies * Channel optimization * Client wallet utilization prediction both off-us and on-us * Client and product profitability prediction Processes * Continuously improve the operational efficiency and effectiveness of processes * Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations Key stakeholders * Group/Region Analytics teams * Group / Region/Country Product & Segment Teams * Group / Region / Country Channels/distribution * Group / Region / Country Risk Analytics Teams * Group / Regional / Country Business Teams * Support functions including Finance, Technology, Analytics Operation Skills and Experience * Data Science * Anti Money Laundering Policies & procedures * Modelling: Data, Process, Events, Objects * Banking Product * 2-4 years of experience (Overrall) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: * Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do * Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well * Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. * Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. * Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. * Flexible working options based around home and office locations, with flexible working patterns. * Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits * A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. * Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. 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Apply DATA SCIENTIST Department of Defense Defense Finance and Accounting Service ENTERPRISE SOLUTIONS AND STANDARDS (JJEE) Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply Summary Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information. Summary Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information. Overview Help Accepting applications Open & closing dates 12/18/2025 to 12/24/2025 Salary $124,531 to - $169,039 per year To view pay rates in a specific location visit the OPM pay tables at ******************************************************************* Pay scale & grade GS 14 Locations 1 vacancy in the following locations: Indianapolis, IN Limestone, ME Rome, NY Cleveland, OH Show morefewer locations (1) Columbus, OH Remote job No Telework eligible No Travel Required 25% or less - You may be expected to travel for this position. Relocation expenses reimbursed Yes-You may qualify for reimbursement of relocation expenses in accordance with agency policy. Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential None Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Critical-Sensitive (CS)/High Risk Trust determination process * National security Financial disclosure No Bargaining unit status Yes Announcement number DFAS-DHA-ML-12855027-26 Control number 852745700 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This announcement is open to all U.S. Citizens. Duties Help * Uses expert knowledge of and the application of data analytics, statistical analysis, modeling/simulation, and/or other scientific principles, methods, and techniques. * Demonstrates sufficient knowledge in the areas of business needs, domain knowledge, analytical skills, and software and systems engineering to manage the end-to end data processes in the data life cycle. * Builds analytical, econometric and/or statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, etc. * Generates actionable insights applying advanced statistical techniques, for example, predictive statistical models and simulations, segmentation analysis, customer profiling, analysis, survey design, and data mining. * Collaborates with other data analytics team members to communicate obstacles and findings to relevant stakeholders in an effort to improve decision-making and drive business performance. * Conducts a thorough and rigorous security impact analysis for all DFAS data analytics. * Participates in meetings, conferences, briefings, and seminars related to data analytics program planning, technologies, and support system concepts. Requirements Help Conditions of employment * Must be a U.S. Citizen or National * Background or Security Investigation - see the Additional Information field below for more details. * Registered for Selective Service (males born after 12-31-1959) * Suitable for Federal employment * Obtain/Maintain Financial Management Certification * New employees to the Defense Finance and Accounting Service will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov. * The incumbent of this position will be required to be physically on-site full-time, regular telework is not authorized for this position. Qualifications This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense. We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency. Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received. Selections may be made at any point during the announcement open period. This position has a positive education requirement. To qualify for this position you must meet one of the basic requirements described below: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. You need to send proof of education or of certification to be considered for this position. Click here for more information on who must submit documentation at the time of application and what documentation is acceptable: Transcripts and Certifications. In addition to meeting the basic requirement, qualified applicants must possess one year of specialized experience equivalent in level of difficulty and responsibility to that of the next lower grade (GS-13) in the Federal service, which demonstrates the ability to perform the duties of the position. Specialized Experience is defined as: Developing data models for evaluation, identification, collection, and analysis of all data used to support projects or programs; selecting the appropriate data collection techniques for program analysis from various sources; collecting and analyzing data, and displaying data for analysis to draw conclusions. Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates to paid employment. You will receive credit for all qualifying experience, including volunteer experience. You may qualify for consideration if meeting specialized experience, education requirement, 90 days after competitive appointment requirement, and all other qualification requirements within 30 calendar days after the closing date of the announcement, unless otherwise indicated on the announcement. Education Education requirements are listed in the Qualifications section above. Additional information * Moving expenses may be paid. * Telework availability is limited and will only be provided on a rare case-by-case basis during situations where Agency Leadership has determined that telework serves a compelling DoD need. * Selections are subject to restrictions resulting from the DoD Program for Stability of Civilian Employment. * As a condition of employment, you may be required to serve a 1-year probationary period during which we'll evaluate whether your continued employment advances the public interest. The evaluation will consider: your performance and conduct; the needs and interests of the agency; whether your continued employment advances agency or governmental goals; and whether your continued employment advances the efficiency of the Federal service. At the end of the probationary period, your employment will be terminated unless you receive certification that your continued employment advances the public interest. * We may use this announcement to fill additional vacancies within 90 days of the closing date. * Travel requirement is seldom 1-24% * This position is covered by a bargaining unit. * Veteran's Preference: Veteran's preference does not apply under this Direct Hire Authority (DHA). * This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency. Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received. Selections may be made at any point during the announcement open period. * Retired Civil Service Employee: Employment of retired Federal employees receiving an annuity is subject to the requirements of the Department of Defense (DoD) policy guidance. (See DoD Instruction 1400.25, Volume 300, here). * The Security Designation will vary and dependent upon position and may require a secret clearance or higher. Employment in this position requires a background investigation which may delay starting date. If you are selected and cannot obtain a favorable security determination within a reasonable period of time due to disclosed/undisclosed background issues, the employment offer may be withdrawn. Individuals selected are required to obtain/maintain a favorable security determination to occupy a sensitive position within the agency as a condition of employment. Failure to maintain eligibility to occupy a sensitive position may result in termination. For more information see the security section of Understanding Vacancy Announcements. * Criminal History Inquiries- For some positions, criminal history inquiries may not take place before you receive a conditional job offer. Please see Fair Chance to Compete for Jobs Act of 2019 (dfas.mil) for more information on The Fair Chance to Compete Act, exceptions, and DFAS contact information. * Pay for first time hires to the Federal Government will typically be set at step 1 salary range for their respective grade level. * All applicants are encouraged to apply electronically. If you are unable to apply on-line, you may contact ************ for assistance. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. IMPORTANT NOTE - YOU MUST FOLLOW ALL APPLICATION INSTRUCTIONS CAREFULLY. ERRORS OR OMISSIONS MAY AFFECT YOUR RATING. You will be evaluated on how well your qualifications, as demonstrated in your application materials (e.g., resume, supporting documents) and your responses on the application, meet the requirements listed in this vacancy announcement. DFAS recognizes the value of competencies gained through formal education and professional certifications. To ensure that consistent credit is given for these credentials in the selection process, DFAS has developed standard selection criteria to be used when filling positions in professional and administrative series. Selections for professional and administrative positions will be based on four categories of selection criteria: Experience, Other, Education, and Certifications. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help You must provide a complete Application Package which includes: 1. Resume: A two-page maximum resume is required. Applicant guidance on the two-page resume requirement may be found at **************************************************************************************************************************************** or at ******************************************************************** Your resume must demonstrate the quality of your work as it relates to the experience requirements outlined in the job announcement. 2. Transcripts and/or Certifications: All applicants to include current agency employees, must submit proof of education if the job announcement requires education to meet the basic qualification requirements, or if substituting education to meet the specialized experience requirements. For additional information on acceptable documents, click here Transcripts and Certifications. All applicants to include current agency employees/contractors must also document your education and/or certifications in your resume. To be creditable, education must have been obtained in an accredited college or university recognized by the U.S. Department of Education. Other Supporting Documents. The following supporting documents are ONLY required if applicable to your personal qualifications or status. They must be received by the closing date of the announcement 1. SF-50: Current and former federal employees, including those currently working for the agency, must submit their SF-50 (Notification of Personnel Action) reflecting their highest grade held on a permanent basis for at least 52 weeks, tenure, and appointment type. Failure to provide this document may result in disqualification. 2. Cover Letter: You may submit a cover letter which will be forwarded to the selecting official with your resume. Your cover letter will not be used to verify your qualifications or eligibility. 3. Military Spouse Preference (MSP) Eligible: Military Spouse Preference applicants, must be selected and placed at the highest grade level for which they have applied and been determined best qualified up to and including the full performance level. You must include a completed copy of the Military Spouse PPP Self-Certification Checklist dated within 30 days along with the documents identified on the checklist to verify your eligibility for Military Spouse Preference. Click here to obtain a copy of the Military Spouse PPP Self-Certification Checklist. 4. Military Reserve (MR) and National Guard (NG) Technicians PPP Eligible: MR and NG technicians PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician preference. Click here to obtain a copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist. 5. Military Reserve (MR) and National Guard (NG) Technicians Receiving Disability Retirement PPP Eligible: MR and NG technicians receiving disability retirement PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician Disability preference. Click here to obtain a copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist. 6. Retained Grade PPP Eligible: Retained Grade PPP applicants, must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Retained Grade PPP Self-Certification Checklist to verify your eligibility for Retained Grade preference. Click here to obtain a copy of the Retained Grade PPP Self-Certification Checklist. WARNING: Failure to submit a complete application package including any required documentation by 11:59 PM (EST) , 12/24/2025 or at the time of application for announcements with an extended closing date, may result in an ineligible rating and loss of consideration. To verify that your application is complete, log into your USAJOBS account, select Application Status and More Information. The Details page will display the status of your application. It is the applicant's responsibility to verify that information entered, uploaded, or faxed is received, legible and accurate. HR will not modify answers submitted by an applicant. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. How to Apply Help To apply for this position, you must provide a complete Application Package. See required documents below. Click 'Apply Online' to create an account or log in to your existing USAJOBS account. 1. Follow the prompts to complete the application and upload required documents. 2. Please ensure you click the Submit My Answers button to submit your application. 3. Check application status by logging into your USAJOBS account, clicking Application Status, then More Information for this position. Return to an incomplete application by logging into your USAJOBS account and clicking Update Application in the vacancy announcement. You must re-select your resume and other documents from your USAJOBS account or your application will be incomplete. Agency contact information HR Customer Care Center Phone ************** Email ************************************************ Address DFAS - ENTERPRISE SOLUTIONS AND STANDARDS 8899 E. 56th Street Indianapolis, IN 46249 US Next steps The resume you submit will be used to assess your qualifications for the job and to identify the best-qualified applicants to be referred to the hiring manager for further consideration and possible interviews. We will notify you of the outcome after each of these steps is completed. After making a tentative job offer, we will conduct a suitability/security background investigation.. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help You must provide a complete Application Package which includes: 1. Resume: A two-page maximum resume is required. Applicant guidance on the two-page resume requirement may be found at **************************************************************************************************************************************** or at ******************************************************************** Your resume must demonstrate the quality of your work as it relates to the experience requirements outlined in the job announcement. 2. Transcripts and/or Certifications: All applicants to include current agency employees, must submit proof of education if the job announcement requires education to meet the basic qualification requirements, or if substituting education to meet the specialized experience requirements. For additional information on acceptable documents, click here Transcripts and Certifications. All applicants to include current agency employees/contractors must also document your education and/or certifications in your resume. To be creditable, education must have been obtained in an accredited college or university recognized by the U.S. Department of Education. Other Supporting Documents. The following supporting documents are ONLY required if applicable to your personal qualifications or status. They must be received by the closing date of the announcement 1. SF-50: Current and former federal employees, including those currently working for the agency, must submit their SF-50 (Notification of Personnel Action) reflecting their highest grade held on a permanent basis for at least 52 weeks, tenure, and appointment type. Failure to provide this document may result in disqualification. 2. Cover Letter: You may submit a cover letter which will be forwarded to the selecting official with your resume. Your cover letter will not be used to verify your qualifications or eligibility. 3. Military Spouse Preference (MSP) Eligible: Military Spouse Preference applicants, must be selected and placed at the highest grade level for which they have applied and been determined best qualified up to and including the full performance level. You must include a completed copy of the Military Spouse PPP Self-Certification Checklist dated within 30 days along with the documents identified on the checklist to verify your eligibility for Military Spouse Preference. Click here to obtain a copy of the Military Spouse PPP Self-Certification Checklist. 4. Military Reserve (MR) and National Guard (NG) Technicians PPP Eligible: MR and NG technicians PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician preference. Click here to obtain a copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist. 5. Military Reserve (MR) and National Guard (NG) Technicians Receiving Disability Retirement PPP Eligible: MR and NG technicians receiving disability retirement PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician Disability preference. Click here to obtain a copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist. 6. Retained Grade PPP Eligible: Retained Grade PPP applicants, must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Retained Grade PPP Self-Certification Checklist to verify your eligibility for Retained Grade preference. Click here to obtain a copy of the Retained Grade PPP Self-Certification Checklist. WARNING: Failure to submit a complete application package including any required documentation by 11:59 PM (EST) , 12/24/2025 or at the time of application for announcements with an extended closing date, may result in an ineligible rating and loss of consideration. To verify that your application is complete, log into your USAJOBS account, select Application Status and More Information. The Details page will display the status of your application. It is the applicant's responsibility to verify that information entered, uploaded, or faxed is received, legible and accurate. HR will not modify answers submitted by an applicant. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

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 (**************************************** .

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Join MonoSol's forward thinking Quality team and turn raw manufacturing data into actionable insights that raise product quality and process efficiency. You'll sit at the intersection of data science and manufacturing engineering to mine and utilize high-frequency production data for building predictive models and guiding teams on the levers that control critical quality attributes. You'll be an internal expert who bridges advanced data science with practical plant operations and a critical member to drive digital transformation across the company. Responsibilities * Leadership and Direction * Champion best practices in data governance, reproducibility, and experiment design; contribute to MonoSol's growing analytics community. * Data Engineering * Connect to historians/MES (manufacturing execution software), write efficient data pipelines to profile large time-series and batch datasets to discover key factors driving manufacturing defects and variability. * Predictive Modeling & Analytics * Train, test, and maintain regression/classification models (e.g. linear regression, XGBoost, TensorFlow). Emphasize and effectively communicate model outputs to key stakeholders. * Performance Improvement through ML * Integrate predictive models with real-time dashboards or control-room alerts that have a positive financial impact * Efficient Reporting with Visualization & Storytelling * Build clear dashboards (e.g. Power BI, Spotfire, or Custom) and present findings to production, maintenance, and leadership teams * Model Deployment & Monitoring * Package models for deployment in production environments using either cloud-based or on-premises infrastructure as needed. Set up dashboards and alerts to provide near-real-time insights and leading indicators for operators and engineers. * Data and Analytics Strategy * Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy at MonoSol. * Data Architecture * Help define data standards (naming, sampling, governance) for projects. * Continuous Improvement & Collaboration * Partner across manufacturing teams to translate model outputs into actions; coach colleagues on data-driven methods. Translate model findings into root-cause actions. * Personal Development * Stay current on manufacturing analytics, MLOps, and Six Sigma best practices; pursue certifications or conferences as needed. Typical Tasks * Extract, clean, and feature-engineer high-velocity plant data from manufacturing systems. * Design and extract meaningful features from time-series, batch, and categorical data to improve model performance and interpretability. * Build and evaluate predictive models (regularized linear regression, gaussian process regression, gradient boosting, neural networks); create simulation notebooks for process scenarios. * Deploy models in production environments (cloud or on-premises) using APIs or integrated systems; monitor performance for drift and retrain as needed to maintain accuracy. * Perform root cause analysis using data-driven techniques to identify sources of defects or process inefficiencies * Create intuitive dashboards that link inputs to predicted quality metrics. * Work closely with quality engineers, process engineers, and production teams to define the problem, validate model results, and co-develop solutions that are both technically sound and operationally practical. * Document methodologies, models, and findings in a clear and reproducible manner. * Present insights to operators, engineers, and executives Qualifications * Education * Bachelor's degree in chemical engineering, Mechanical Engineering, Data Science, Statistics, Computer Science, or related field (required). * Master's or graduate certificate in Data Science, Analytics, or related field (preferred). * Experience * 3+ years of statistical modeling, applied machine learning, data science, or advanced analytics preferably in process control and manufacturing. * Proven success in improving yield, uptime, or quality with statistical or ML models. * Familiarity with statistical process control (SPC), control charts, and quality metrics. * Six Sigma green belt or higher (preferred) * Technical Skills * Proficiency in Python or R for data analysis and modeling. (e.g., pandas/scikit-learn or dplyr/caret/tidymodels). * Experience with deep learning frameworks (e.g. TensorFlow, py Torch) * Strong SQL skills and working with relational databases; experience with cloud platforms (AWS SageMaker, Azure ML) is a plus. * Soft Skills * Ability to clearly communicate and translate model outputs into actionable recommendations for manufacturing-floor teams, engineering staff, and executive leadership. * Comfortable working in cross-functional settings and driving change Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law: The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future. In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days). Compensation range - $86,907.87 - $146,142.27 Incentive Compensation Bonus Target - 10% Paid time off amount - 15 days Closing The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary. Disclaimer As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug / alcohol test, physical, and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.

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.

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. Position Summary The Data Scientist will support AES's US Utilities operations by applying data science techniques to improve grid reliability, customer experience, and operational efficiency. This entry-level role is ideal for candidates passionate about solving real-world energy challenges through data exploration, predictive modeling, and cross-functional collaboration. You'll work alongside our team of experienced data scientists, data analysts, data architects and engineers, and data governance experts to deliver insights that drive smarter decisions and accelerate the future of energy. Key Responsibilities * Work cross-functionally within the team of data scientists, data architects & engineers, machine learning engineers, data analysts, and data governance experts to support integrated data solutions. * Collaborate with business stakeholders and business analysts to define project requirements. * Collect, clean, and preprocess structured and unstructured data from utility systems (e.g., meter data, customer data). * Perform exploratory data analysis to identify trends, anomalies, and opportunities for improvement in grid operations and customer service. * Use both traditional machine learning methods and generative AI tools to create predictive models that solve utilities-focused problems, particularly in the customer space (e.g., outage restoration, customer program adoption, revenue assurance). * Present data-driven insights to internal stakeholders in a clear, concise manner, including visualizing data to provide predictive insights and drive decision making. * Document methodologies, workflows, and results to ensure reproducibility and transparency. * Be a champion of data and AI at all levels of the AES US Utilities organization. * Stay current with industry trends in utility analytics and machine learning. Qualifications Must Have * Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred. * 7-9 years of experience in a data science or analytics role. * Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc. * Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn. * Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc. * Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows. * Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc. * Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred. * Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker). * Strong analytical thinking and problem-solving skills. * Excellent communication and storytelling abilities. * Experience with cloud computing platforms (GCP preferred). * Ability to manage multiple priorities in a fast-paced environment. * Interest in learning more about the customer-facing side of the utility industry. Nice to Have * Experience in the energy and/or utilities sectors. * Understanding of utility-specific data sources (e.g., SCADA, CIS, GIS). * Familiarity with SAP (especially IS-U and ERP modules). * Exposure to data governance tools (e.g., enterprise data catalog and data quality tools). Physical Responsibilities * Ability to sit or stand for extended periods while working at a computer. * Capable of walking through office environments and occasionally visiting field or operational sites. * Must be able to communicate effectively with colleagues in person, via video conferencing, and through written formats. * Occasional travel may be required to attend meetings or support project work. * Valid driver's license may be required depending on team assignment. AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

** 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 and WD_BLACK 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 ****************** .

Job Title: Data Scientist/Engineer Type: Corp to Corp Contract Length: 12 months - potential conversion to FTE We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements. Responsibilities Data Engineering Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data. Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling. Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices. Machine Learning Support Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments. Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed. Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code. Data Analysis and Preprocessing Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as: Azure Data Lake Storage Azure Synapse Analytics Azure Data Factory Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights. Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies. General Responsibilities Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement. Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders. Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations. Qualifications Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks. Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage. Familiarity with data transformation, ingestion techniques, and data quality methodologies. Proficiency in programming languages such as Python or Scala for data processing and ML integration. Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks. Solid understanding of machine learning lifecycle management and model deployment in production environments. Strong problem-solving skills with experience detecting and addressing data anomalies. Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law. Pay Range USD $28.00 - USD $30.00 /Hr.

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva Agriscience has an exciting opportunity for a Metabolic Modeling Data Scientist to develop and deploy predictive genome-scale metabolic models that accelerate microbial strain optimization and bioprocess development. This role will apply their expertise to innovate nature-inspired solutions to global challenges in agriculture. They will join a strong molecular data science team and work closely with cross-functional teams from early discovery to downstream process engineering to generate actionable hypotheses, quantify flux bottlenecks, and translate multiomics and process data into decisions for Crop Health R&D. What You'll Do: Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches. Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses. Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield. Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity. Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable. Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning. What Skills You Need: PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields. Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement. Strong programming skills in Python (and R) for model development and data integration Preferred Skills: Experience with industrially relevant non‑model microbes and fermentation datasets. Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks. Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation. Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices. Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms; Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams. #LI-BB1 Benefits - How We'll Support You: Numerous development opportunities offered to build your skills Be part of a company with a higher purpose and contribute to making the world a better place Health benefits for you and your family on your first day of employment Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays Excellent parental leave which includes a minimum of 16 weeks for mother and father Future planning with our competitive retirement savings plan and tuition reimbursement program Learn more about our total rewards package here - Corteva Benefits Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Job Description POSITION: Data Scientist (full-time and part-time) - Contingent on Award Data Scientist II, III PAY RATE: $32.56 to $43.58 STATUS: Contingency Opportunities both full-time and part-time SSC: Active Secret Security Clearance (required) DEL REY Systems & Technology, Inc. headquartered in San Diego, California is looking for Data Scientist level II and level III There are 2 positions in each category to fill. The location is in Crane, Indiana at the Naval Surface Warfare Center. If you are interested in being considered for any of these positions, please let us know which labor category and if you prefer full-time or part-time. Basic Skills: Data Scientists develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. They may also apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data finding. Create dynamic data reports. Data Scientist II $32.56/hourly Bachelor's degree in a business or technical field 3 years of experience in data analytics Data Scientist III $43.58/hourly Bachelor's degree in a business or technical field 10 years of experience in data analytics Job Overview: Experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. Experience applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, NumPy, Requests, or Antigravity. Experience applying complex mathematical and statistical concepts. Experience applying statistical and operations research methods and tools. Experience employing spreadsheets for data manipulation and visualization. Relevant industry certification such as: CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associate (EMCDSA)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera) COMPANY OVERVIEW DEL REY Systems & Technology, Inc. (DEL REY) is a small Veteran-owned defense contractor founded in 1995 and headquartered in San Diego, California. We are an equal opportunity employer and believe in recruiting and developing the very best professionals in the field. Although our corporate office is in California, we have employees supporting our customers from coast-to-coast and many states in-between. For employment consideration, please submit your resume to this posting in MS-Word and let us know the position for which you are applying. DEL REY is proud to offer competitive compensation and a comprehensive benefit package. Employee benefits include both a Traditional 401k and ROTH Retirement Accounts; Medical, Dental, Vision, FSA, Vacation, Sick, Basic Term Life Insurance, Employee Assistance Program and voluntary supplemental insurance. DEL REY complies with applicable Federal civil rights laws and does not discriminate. We welcome all applicants as we are always looking for skilled employees possessing a desire to join and contribute to an employee-focused company committed to sustaining superior customer satisfaction. For employment consideration, please respond to the job board where we have our posting or to our Career Page and reference the position which you are seeking.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research and Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

What's the role? As a Senior Data Scientist within the Quality and Business Planning team, you are passionate about delivering quality products. This involves deploying statistical and analytic methods, measurements, and machine learning models to measure and impact the quality of our map products. You are responsible for developing sampling and test designs, data and computing workflows, and analytics centered on Map and Location quality requirements. Expected to be a expert on statistical and experimental design methods for Map and Location quality testing processes Interpret project objectives and requirements, create enabling data science solutions and produce impactful outcomes Develop sampling plans for data collection, quality evaluation, and the production of training data, along with technical estimators for the evaluation of map quality, and A/B experiments to validate optimization and solution approaches Build and test statistical and machine learning models to support improvement of a wide variety of data-driven processes for map making Design and develop data and computing tools to enable processing of quality testing data and results Work with map and location experts, engineering teams, and other teams across the company to enable high-quality map products Who are you? Master's or PhD degree required. Degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related fields. 5+ years of related work experience Team player with good communication, presentation, and people skills Proficiency and understanding of sampling methods and experimental design Proficiency of machine learning and modeling techniques, including analytic methods such as regression, classifiers, clustering, association rules, decision trees, etc. Proficiency with analysis and programming in Python and SQL, or similar packages (R, Matlab, SAS, etc.) Knowledge and experience with using GIS tools for spatial data analysis Experience with understanding, specifying and explaining measurement and analytic systems with other teams of data scientists and engineers to execute projects delivering those solutions. Knowledge of tools for working with big data in Hadoop or Spark for data extraction and preparation for analysis will be a plus Knowledge and experience in Quality management, End-to-End quality test strategy and Six Sigma will be a plus What we offer HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. Our team has partnered closely with customers to build a robust quality measurement system for HD maps, ensuring both safety and availability in automated driving. Through multi-step review processes, we generate independent reference data for map features and attributes, guaranteeing high data integrity. This system not only evaluates map content quality against agreed KPIs but also quantifies the reliability and uncertainty of these measurements, providing timely feedback that supports critical use cases.

Drive data-powered transformation in green manufacturing Are you passionate about using data science to shape a more sustainable future? At NKT, were connecting a greener world through high-quality power cable technologyand we need your expertise to accelerate our digital transformation. As a Senior Data Scientist, youll be at the forefront of data-driven innovation in a fast-growing manufacturing environment, applying advanced analytics and machine learning to deliver measurable business outcomes. Youll collaborate with cross-functional teams, influence strategic decisions, and mentor others while working with modern tools and technologies. Do you want to lead impactful data science initiatives in a global company committed to sustainability? Lead data science initiatives with real impact As a Senior Data Scientist, you will take ownership of high-impact projects from scoping to delivery. Youll work closely with stakeholders to define business needs, translate them into structured problem statements, and ensure initiatives are aligned with strategic goals. Your role will combine technical expertise with leadership, enabling you to guide projects and mentor team members while driving measurable results. Your responsibility will be to: * Translate business needs into structured data science problems * Lead end-to-end project execution and backlog management * Develop and deploy machine learning models using Python, and,and data science libraries such as pandas, numpy, and scikit-learn. relevant libraries but not limited to these libraries * Communicate insights clearly to senior stakeholders * Support and mentor colleagues to foster team growth You will be part of a collaborative team and report to a senior leader. Strategic thinker with a collaborative mindset Were looking for a person who thrives in a dynamic environment and enjoys solving complex problems with a business-oriented approach. You are proactive, communicative, and able to translate technical insights into actionable strategies. You value teamwork and are motivated by mentoring others and contributing to a shared vision. You also have: * A minimum of 7 years of relevant experience in the data science domain * Proven experience leading data science projects end-to-end atleast 3 project implementation in complex environment * Strong proficiency in Python and libraries like pandas, numpy, scikit-learn * Familiarity with agile methodologies and backlog management * Experience with cloud platforms (Azure preferred) * Ability to define and track success metrics tied to business outcomes * Preferred: Experience deploying scalable models in production environments Shape sustainable manufacturing through data NKT is committed to developing a diverse organization and culture where people of diverse backgrounds can grow and are inspired to do their best. We have high ambitions on establishing gender diversity at NKT and encouraging all interested candidates to apply even if you dont tick all the boxes described. We believe that a diverse organization enables long-term performance, and that an inclusive and welcoming culture creates a better work environment. At NKT, youll have the opportunity to grow your skills in an international setting, collaborate with cross-functional teams, and influence the data science roadmap. Youll be part of a company that values innovation, sustainability, and continuous learning-where your work directly contributes to a greener tomorrow. We will review applications continuously, but we recommend you apply no later than 31st December of 2025. Be aware that personality and cognitive tests might be included in the recruitment process.Please note that due to the GDPR regulations we cannot accept any applications via e-mail. Be a Connector of the green tomorrow! About NKT At the factory in Karlskrona, NKT is designing, developing and manufacturing the high-voltage power cable solutions enabling the transition to renewable energy. Here, you will join a diverse organization at an internationally recognized engineering center operating one of the most advanced high-voltage test halls, a state-of-the-art cable manufacturing and the NKT Victoria - the most sustainable cable-laying vessel in the offshore industry. NKT connects a greener world with high-quality power cable technology and takes centre stage as the world moves towards green energy. NKT designs, manufactures and installs low-, medium- and high-voltage power cable solutions enabling sustainable energy transmission. Since 1891, NKT has innovated the power cable technology building the infrastructure for the first light bulbs to the megawatts created by renewable energy today. NKT is headquartered in Denmark and employs 6,000 people. NKT is listed on Nasdaq Copenhagen and realised a revenue of EUR 3.3 billion in 2024. We connect a greener world. ***********

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit and Cash Balance plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player We are proud to be an Equal Opportunity Employer Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. We are seeking a highly skilled Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop active bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments. What You'll Do: Design and implement active process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and safety. Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing. Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction. Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results. Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance. Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders. Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control. What Skills You Need: M.S. + 3 years' experience or Ph.D. in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field. Strong foundation in machine learning, statistical modeling, and process control. Proficiency in Python, R, or another programming language. Excellent communication and collaboration skills; ability to work in multidisciplinary teams. Preferred Skills: Familiarity with bioprocess workflows, fermentation, and downstream processing. Hands-on experience with bioprocess optimization models and active process control strategies. Experience with industrial data systems and cloud platforms. Knowledge of reinforcement learning or adaptive experimentation for process improvement. #LI-BB1 Benefits - How We'll Support You: Numerous development opportunities offered to build your skills Be part of a company with a higher purpose and contribute to making the world a better place Health benefits for you and your family on your first day of employment Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays Excellent parental leave which includes a minimum of 16 weeks for mother and father Future planning with our competitive retirement savings plan and tuition reimbursement program Learn more about our total rewards package here - Corteva Benefits Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit and Cash Balance plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player We are proud to be an Equal Opportunity Employer Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").