Data scientist jobs in Maine

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.

** 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 ****************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/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.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills What You'll Bring TECHNOLOGIES: Programming Languages: Python #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **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:** 12/02/2025 *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. \#LI-Remote \#LI-AP4 _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 (***************************************************************************************************************************

About the Opportunity This is a full-time, one-year term appointment with the possibility of renewal. The Senior Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will lead the development and delivery of AI solutions across diverse industries. The role involves building end-to-end AI pipelines-from business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong combination of academic and industry experience. They will possess deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with clients to gather requirements, communicate insights, and lead solution design are essential. A successful candidate will also demonstrate mentoring experience and a strong track record of translating complex business needs into scalable AI solutions. Experience in the consulting industry is preferred. 2. Education & Experience * Ph.D. (strongly preferred) or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI. * Minimum of 5 years of industry experience in designing, developing, and deploying AI/ML solutions across sectors, including hands-on model building. * Demonstrated academic and industrial contributions in Generative AI and Deep Learning, including practical deployment of models using modern architectures such as convolutional neural networks, transformers, and diffusion models. * Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks. * Demonstrated client-facing experience, including engagement scoping, expectation management, and delivery leadership. * Strong ability to translate complex technical findings into business insights for both technical and non-technical audiences. * Track record of cross-functional collaboration and stakeholder engagement. * Experience in commercializing AI technologies, including data-driven tools and platforms. 3. Knowledge, Skills, and Abilities Technical and Analytical Expertise * Advanced understanding of statistical methods, regression, hypothesis testing, and experimental design. * Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch, TensorFlow, HuggingFace, and LangChain. * Demonstrated experience with modern AI model architectures including convolutional neural networks, transformers, and diffusion models. * Demonstrated experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. * Domain expertise in NLP, computer vision, or speech processing. * Proficient in Python for software and ML pipeline development. * Experience with SQL, NoSQL, and cloud platforms (AWS, Azure, GCP). * Familiar with distributed data systems (e.g., Apache Spark) and workflow orchestration tools (e.g., Airflow, Prefect). * Solid background in software development, including Linux, Git, and OOP languages such as Python, Java, or C++. Project and Delivery Management * Strong grasp of Agile/Scrum development practices. * Proven industry experience in requirements gathering and scoping solutions. * The ability to convert high-level business problems into actionable project plans and deliverables. Client and Stakeholder Engagement * Excellent interpersonal and communication skills to work directly with clients. * Proven ability to develop custom AI strategies aligned with client goals. 4. Preferred Experience * Hands-on experience with distributed data processing (e.g., Apache Spark, Hadoop). * Track record of building and scaling ML pipelines for both structured and unstructured data. * Proven record of technical leadership in architecture and delivery of robust and scalable AI systems. * At least 3 years of MLOps experience, including deployment and monitoring of AI models. * Proven experience scaling GenAI models (e.g., LLMs, diffusion models) in production settings. * Familiarity with containerization (Docker) and orchestration tools (Kubernetes). * Preferred experience with MLOps tools and frameworks such as MLFlow, Airflow, Prefect, and related model monitoring and lifecycle management platforms. * Demonstrated experience collaborating with clients to deliver tailored AI solutions that solve high-value problems. 5. Values & Abilities Leadership and Mentorship * Commitment to mentoring junior staff, fostering a culture of technical excellence and growth. Ethical and Responsible AI Advocacy: * Adheres to principles of ethical AI, ensuring transparency, fairness, and accountability in all solutions. Collaboration and Communication: * Strong communicator capable of bridging the gap between technical and non-technical audiences. * Team-oriented, open to feedback, and committed to inclusive, cross-disciplinary collaboration. Continuous Learning and Technical Curiosity * Passion for continuous improvement and staying up to date on cutting-edge AI research and tools. Execution Excellence: * Demonstrated ability to manage multiple priorities under tight deadlines while maintaining high quality. * Proactive and solutions-driven with strong ownership of project outcomes. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 113S Expected Hiring Range: $112,180.00 - $162,662.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support an upcoming contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * Government security clearance requirements may vary amongst positions, however, a minimum of a Top Secret clearance with SCI eligibility and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Requirements may vary per job level and location, however, the candidate should possess the following at the time of application: * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Experience building and leading data management and analytics projects and initiatives for Federal clients. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Strong leadership and ability to work within cross-functional groups. Preferred Qualifications * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. This is a full-time position. NCC offers a competitive compensation packages: salary is commensurate with experience. Benefits include medical, dental, flexible spending, three weeks accrued Paid Time Off (PTO), paid federal holidays, and 401(k) with company match. NCC is an Equal Opportunity Employer (Minority/Female/Disabled/Veteran).

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you'll be a big part of the ambition to help over 1 billion people listen, learn and work better together. Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as our Senior Data Scientist, where you will set new standards for data science craft within the Data & Analytics (DNA) department and play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. Data is not only central, but crucial, to how Mentimeter will reach success. At Mentimeter, the DNA department is on a mission to catalyse our company strategy and drive innovation, growth and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion. In this role, you'll collaborate with and be supported by cross-functional teams of data scientists, data engineers, user researchers, product managers and company leaders who are passionate about Mentimeter's mission and using data to achieve it. What you'll do * Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, with a strong focus on technical aspects of production deployment. * Build and ship internal data products that activate models and insights in the right systems and tools to drive impact. * Be a key part of our Analytics team to align priorities, partner with stakeholders and ensure solutions are relevant and impactful. * Collaborate closely with our Data Platform Team, Analytics Engineering, and other sister teams to enable the business to proactively act on data and create business impact. * Elevate the data science craft within the Data & Analytics department by setting new standards, implementing innovative approaches and best practices. * Provide mentorship and technical guidance to team members, fostering a culture of continuous learning and growth. * Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences. We believe you have * A minimum of 8 years of relevant work experience. * Proven expertise in data science methodologies, with strong proficiency in machine learning techniques and programming languages (e.g. Python and SQL). * Strong business acumen with a deep understanding of sales, marketing, and product analytics. * Expertise in ML modeling with a focus on production deployment and ML engineering best practices (e.g. versioning, monitoring, testing). * A builder mindset and interest to build internal products and systems that scale, leveraging automation, generative AI, and data to drive Mentimeter's growth and efficiency. * Solid software engineering practices, including git, code reviews, and writing performant, maintainable code. * Experience collaborating with data engineers on data pipelines, model deployment, and monitoring. * Demonstrated ability to deliver high-quality analyses and actionable insights aligned with business objectives. * Exceptional communication skills, with the ability to convey complex concepts through clear narratives and visualizations. * A track record of mentoring team members and fostering a culture of best practices and continuous improvement. Nice to have * Familiarity with modern data tools (e.g. Looker, Hex, Snowflake) and cloud platforms (e.g. AWS, Google Cloud). * Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents. Not required * Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities) What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It's not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. * There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we're not building an AI-driven hiring process - we're building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

We are seeking a skilled Data Engineer to join the Data Services team at Bath Iron Works. This role will help transform our data architecture and drive data-driven decision making across the company. In this role you will play an important part in the build-out of our data warehouse and associated data marts. You will also work with business stakeholders throughout the development process to ensure that the created data products align with the business need. The ideal candidate will have hands-on experience in relational databases like SQL Server and Oracle, strong Python skills for data processing and automation, and a foundation in SDLC best practices. You will play a key role in designing, building, and maintaining scalable and reliable data pipelines that support business intelligence and analytics. Responsibilities include, but are not limited to: * Design, develop, and maintain robust ETL/ELT pipelines using SSIS, Python, and SQL. * Extract data from various structured sources including SQL Server and Oracle. * Cleanse, transform, and load data into target systems (e.g. data lakes or warehouses). * Write optimized SQL queries, stored procedures, and functions in SQL Server and Oracle. * Perform data modeling, indexing, partitioning, and performance tuning. * Ensure high data quality, consistency, and integrity through validation routines and monitoring. * Follow best practices for data security, compliance, and documentation. * Collaborate with data analysts, architects, software engineers, and business stakeholders to understand data requirements. * Participate in code reviews, project planning, and technical discussions. Required/Preferred Education/Training * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. * 3-6 years of professional experience as a Data Engineer, Database Developer, or similar role. Required/Preferred Experience Required Experience * Strong hands-on experience with SQL Server and Oracle. * Proficiency in T-SQL and PL/SQL. * Solid programming experience with Python * Experience writing scripts for data manipulation, automation, and orchestration. * Familiarity with ETL tools or frameworks (e.g., Azure Data Factory, SSIS, or custom Python pipelines). * Familiarity with version control tools like Git. Preferred Experience * Working knowledge of Azure data services, especially Azure Data Factory, Azure Storage, and Azure SQL. * Basic understanding of Azure networking, security, and resource management. * Understanding of CI/CD pipelines.

About Kambi Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners. Our vision is to create the world's leading sports betting experiences, together with our partners. Stockholm - Hybrid We are looking for a Senior Data Platform Engineer to join the team that builds and operates Kambi's data and model-serving capabilities behind our sportsbook platform. This platform powers automated decision-making across the business and directly influences risk management, behavior modeling, and operational insights. You will work at the intersection of distributed systems, near real-time data processing, model serving, and cloud-native infrastructure - enabling ML-driven features that update in milliseconds. You'll join a skilled, self-organized, and friendly engineering team working on data-intensive systems that support near real-time decision-making across millions of events. What You'll Work On You'll collaborate closely with other backend engineers, data engineers, and quant specialists to: * Build and evolve data pipelines and model-serving flows that support near real-time risk-related signals. * Develop and maintain cloud-native backend services in AWS (K8s, Lambda, DynamoDB, MemoryDB). * Work with streaming and event-driven systems (Kafka-based pipelines). * Contribute to the lifecycle of operational ML models (feature generation, model execution, monitoring, deployments). * Implement model serving workflows running on Java/Python microservices, AWS services, or scalable batch frameworks. * Build resilient, observable infrastructure using Terraform, logging, metrics, tracing, and automated alerting. * Shape how Kambi runs data and ML-powered systems at scale. * Own services end-to-end, including deployments, performance tuning, incident handling, and on-call participation. * This is a team environment, so problems are solved together, not in isolation. What the Role Focuses On This role focuses on: * Distributed systems and backend engineering * Data workflows, streaming, and model execution * Production-grade infrastructure in AWS * Collaboration with ML, Quant, and Data teams * Reliability, testing, observability, and performance Your Skills & Experience Required * Strong experience with Java (Spring Boot, microservices, distributed systems). * Good working knowledge of Python for data processing or ML integration. * Hands-on experience with Kafka or similar event-streaming technologies. * Solid understanding of distributed architectures, concurrency, and high-throughput systems. * Experience deploying to cloud environments (AWS preferred). * Familiarity with SQL/NoSQL data stores and caching systems (Redis/MemoryDB/ElastiCache). * Comfort with CI/CD, containers, Kubernetes, and Terraform as part of everyday work. Highly Valued * Experience supporting production ML pipelines, feature stores, or real-time scoring. * Experience with Spark, Airflow, dbt, or similar tools in data transformation workflows. * Knowledge of risk modeling, behavioral modeling, or real-time decision systems. * Strong debugging skills in distributed, asynchronous, event-driven systems. Who You Are * A senior engineer who loves building systems, not just writing scripts. * Someone who thrives in cross-functional collaboration with analysts, data scientists, and backend teams. * A problem-solver comfortable with ambiguity, iteration, and evolving requirements. * A hands-on engineer with architectural instincts - able to balance design with delivery. * A team-oriented, humble professional who values collective success. If some of this sounds intimidating, that's okay. You don't need to tick every box. What matters most is that you're excited about the problems we're solving, motivated to learn, and eager to build reliable data systems together with a supportive team. If this sounds like you, we'd love to hear from you. Why Join Us * A skilled, self-organized, and fun engineering team that supports one another * A chance to shape the next generation of Kambi's data and ML infrastructure * You get to work on complex, meaningful engineering problems * Strong engineering culture, autonomy, and an environment that values quality * Hybrid work, in-person collaboration, and a highly international company We'd love to hear from you! Please send your CV in English if this sounds like the kind of place where you can thrive and make an impact.. Kambi's ongoing commitment to Diversity and Inclusion in the workplace If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback. Creating an inclusive environment We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today. #wearekambi

Do you have a strong interest in data modeling and want to apply your skills in a domain that directly supports oncology workflows? At RaySearch, we are looking for someone who can help strengthen the data foundation behind our clinical analytics and machine learning efforts. About RayIntelligence RayIntelligence is a data platform for radiotherapy clinics, enabling advanced analytics and machine learning based on real-world clinical data. Our platform supports routine clinical operations as well as research and clinical trials, helping clinicians unlock insights that advance cancer care. We collaborate closely with leading clinics worldwide to develop impactful use cases that drive innovation in oncology. About the position In this position, your focus will be on data modeling, where you will serve as a key resource for the team - developing best practices, guiding design decisions, and strengthening the team's expertise in this area. You will also collaborate on broader data engineering tasks within the team's agile workflow. What you'll do * Design and implement robust data models in dbt to enable clinical analytics, regulatory reporting, and machine learning use cases - working with datasets from: * RayStation: Radiation therapy planning system providing precise dose and geometry data * RayCare: Oncology information system managing patient records, workflows, and treatment-room setup verification * Custom sources from partner clinics * Shape and advance our data modeling methodology to support advanced analytics and regulatory reporting - evaluating and selecting proven approaches to ensure scalability, compliance, and long-term maintainability. * Building ETL/ELT pipelines running in a distributed processing environment * Collaborate with a cross-functional team of engineers and clinical partners to co-develop impactful use cases * Leverage a hybrid infrastructure of AWS cloud services and on-premises systems to deliver flexibility and scalability for our analytical platform, utilizing PostgreSQL and SQL Server

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.

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 (***************************************************************************************************************************

About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions? We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. The Institute for Experiential AI (EAI) is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. The Culture: Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems. This is a full-time, one-year term appointment with the possibility of renewal. Summary: This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners across the University and industry. Help build AI products that will solve the most pressing issues for organizations, including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes, and use data science strategically to support the Institute's mission. Qualifications: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill. Experience assisting technical staff in the completion of projects. Experience communicating with technical and non-technical stakeholders and translating business problems into technical specifications. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying them in real-world scenarios. Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch. Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace, axolotl. Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Professional experience developing solutions using NLP, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and solve logical problems for technical applications. Knowledge of and ability to select, adapt, and effectively use various programming methods. Preferred Experience: Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Experience with distributed data systems such as Apache Spark. Expertise in analyzing large, complex, multi-dimensional datasets with various tools. Expertise in hypothesis testing and AB testing. Proficiency in Linux and version control software (git). Familiarity with Object-oriented programming languages such as Python, Java, C# or C++. Familiarity with Agile / Scrum development practices. Values & Abilities: Aptitude to independently learn new technologies, prototype, and propose software design and solutions. Excellent verbal and written communication skills Drive to learn new technologies, statistical methods, and data manipulation techniques. Ability to communicate effectively across academia and industry. Team player who can collaborate effectively across many teams within the University. Open-minded and assertive when collaborating and working within our team and with other groups within Northeastern University. Entrepreneurial mindset with an ability to navigate complex structures and processes Key Responsibilities & Accountabilities Assisting technical solutioning using latest research, technical delivery of projects by defining tasks, by providing contributions (architecting, coding, scaling, and deploying), conducting experiments and synthesizing results Serve as a technical representative in internal and external meetings Support in developing technical stack (e.g., datasets, infrastructure) for execution on projects Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 111S Expected Hiring Range: $86,490.00 - $122,163.75 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

**A Day in the Life:** The **Senior Data Engineer, PySpark** will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL LEADERSHIP + Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines. + Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms + Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code + Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists + Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance + Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity + Participate in peer reviews and QA processes to drive higher quality + Ensure that 100% of code is well documented and maintained in source code repository. INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance. + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of leadership within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role + Strongly prefer hands on experience with DataBricks or Palantir + Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault) + Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc...) + Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays preferred + Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis. + Strong capabilities in a scripting language such as Python, R, Scala, etc. + Strong capabilities in SQL and experience with stored procedures + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**_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 (***************************************************************************************************************************