Senior data scientist jobs in Delaware

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

**Become a part of our caring community and help us put health first** The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. **Use your skills to make an impact** **Required Qualifications** + Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience + Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions + Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors + Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting + Experience in creating reports, projections, models, and presentations to support business strategy and tactics + Ability to make decisions on moderately complex to complex issues regarding technical approach for project components + Must be passionate about contributing to an organization focused on continuously improving consumer experiences **Preferred Qualifications** + Master's Degree + PhD Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 01-30-2026 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

**Anywhere** **Type:** Contract-to-Hire **Category:** Data **Industry:** Government **Workplace Type:** Remote **Reference ID:** JN -112025-104364 **Shortcut:** ******************************* WWq + Description + Recommended Jobs **Description:** We are looking for a hands-on data scientist is sought to develop prototypes of emerging technologies such as large language models (LLMs) and generative AI that solve complex business challenges. The ideal candidate will have at least seven years of experience in AI/ML/NLP and data modeling, along with strong cloud engineering expertise to ensure seamless integration of solutions within cloud-native environments. This role is part of a dynamic team focused on applying advanced technologies to drive digital modernization and innovation. Rate: $60-70/hr. W2 Location: Remote _This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._ **Responsibilities:** Operate and maintain an innovation lab focused on ideation, design, and engineering of cloud-native modernization projects using emerging technologies. Develop comprehensive plans for implementing AI/ML/NLP solutions that meet cybersecurity and compliance standards. Serve as a subject matter expert for large language model implementation and training. Design and develop pilots, prototypes, and proof-of-concept solutions to validate modernization opportunities. Ensure transparency, traceability, and security compliance, including preparation for Authorization To Operate (ATO) certifications. Build predictive models, machine learning algorithms, and statistical analyses to address complex business problems. Create low-risk implementation plans and present recommendations and demonstrations to executive and technical stakeholders. Collaborate with cross-functional teams-data engineering, product, and business-to translate requirements into data-driven solutions. Conduct exploratory data analysis and extract actionable insights from large datasets. Support customer and user experience initiatives through research, metrics, and design artifacts such as wireframes and mockups. Develop reusable code libraries and best practices for innovation and deployment. Mentor junior data scientists and promote adoption of new technologies and methodologies. Stay current with advancements in AI, ML, NLP, and cloud architectures. Support Agile product teams in integrating and operationalizing emerging technologies. Analyze usage data to identify patterns and opportunities for optimization. **Experience Requirements:** Experience with the following: Proven track record of delivering impactful AI/ML/NLP solutions in cloud environments. Strong communication, collaboration, and problem-solving skills. Proficiency in programming languages such as Python, R, SQL, and Java. Large Language Models (LLMs) and Generative AI AI/ML/NLP frameworks and tools Terraform, GitLab pipelines, and MLOps PyTorch and statistical modeling Databricks, Tableau, Power BI Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, GCP Version control and containerization (Git, Docker) **Education Requirements:** Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; advanced degree preferred. Minimum of 7 years of experience in data analytics, modeling, machine learning, NLP, and AI technologies within cloud-native environments (AWS, Azure, or Google Cloud). Ability to obtain and maintain a Public Trust clearance or equivalent clearance if required. Must have resided in the U.S. continuously for the past two years. _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._ _W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._ _Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************._ _About Eliassen Group:_ _Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._ _Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._ _Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_

Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Ai Infra / Gen AI Cloud Engineering team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data/Computational Scientist to join our Cloud Engineering team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MCP and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. You will be responsible for identifying, solutioning, and implementing AI solutions to the corresponding GPU IaaS or PaaS. **Qualifications and experience** + Doctoral or master's degree in computer science or equivalent technical field with 10+ years of experience + Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). + Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. + Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. + Practical experience with setting up and finetuning large OpenSearch Clusters. + Experience in setting up data ingestion pipelines with OpenSearch. + Experience with search algorithms, indexing, optimizing latency and response times. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP) + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Ability and passion to mentor and develop junior machine learning engineers. + Proficient in Python and shell scripting tools. **Preferred Qualifications** : + PhD/Masters in related field with 5+ years relevant experience + Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store + Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Experience with semantic search, multi-modal search and conversational search. + Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. + Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). + Experience in diagnosing, fixing, and resolving issues in AI model training and serving. **Responsibilities** **Responsibilities** As part of the **OCI Gen AI Cloud Engineering team** for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. As a Principal Applied Data/Computational Scientist , you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. + Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. + You will dive deep into model structure to optimize model performance and scalability. + You will build state of art solutions with brand new technologies in this fast-evolving area. + You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. + You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. + Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. + Be an enthusiastic, self-motivated, and a great collaborator. + Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $113,100 to $185,100 per annum. May be eligible for equity. Eligible for commission with an estimated pay mix of 70/30. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Senior Data Scientist within PNC's Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Wilmington, DE or Tysons Corner, VA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Job Summary: We are seeking a Senior Data Scientist to join our Marketing and Customer Analytics Modeling team. This role focuses on developing and deploying predictive models that drive targeted marketing strategies, optimize customer acquisition, and enhance portfolio performance. The ideal candidate combines expertise in statistical modeling and machine learning with business acumen to deliver practical modeling solutions for marketing. Key Responsibilities: - Collaborate with business partners to design, build, and validate predictive models in the credit card and consumer lending marketing domain using advanced statistical modeling and machine learning techniques. - Analyze large datasets to uncover insights, create meaningful features, and ensure data quality and relevance for modeling. - Present analytical findings and actionable insights to senior-level executives in a clear, compelling, and business-focused manner to support strategic decision-making - Track model performance over time, recalibrate as needed, and communicate results and implications to stakeholders. - Maintain thorough documentation of modeling processes, assumptions, and validation results to support compliance and model governance requirements. Preferred Skills and Experience: - Substantial experience applying statistical modeling and machine learning techniques within financial services; preferably in the credit card and/or consumer lending marketing domain. - Proficiency in Python, R and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop). - Excellent communication skills with the ability to explain complex approaches to non-technical stakeholders. - Understanding of marketing analytics, campaign measurement, targeting strategies, and experimental design. - Strong attention to detail. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. **Job Description** + Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. + Directs the data gathering, data processing and data mining of large and complex datasets. + Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. + Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. + Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: + **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. + **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. **Qualifications** Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. **Preferred Skills** Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) **Competencies** Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools **Work Experience** Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. **Education** Masters **Certifications** No Required Certification(s) **Licenses** No Required License(s) **Benefits** PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards (******************************* . **Disability Accommodations Statement** If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. **Equal Employment Opportunity (EEO)** PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. **California Residents** Refer to the California Consumer Privacy Act Privacy Notice (****************************************************************************************************** to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Apply now: Data Scientist, location is Remote or Hybrid (Wilmington, DE area preferred). The start date is mid-to-late January 2026 for this 12-month contract position. Job Title: Data Scientist Start Date Is: Mid-to-late January 2026 Duration: 12-month contract Compensation Range: $65 per hour W2 Job Description: Join the client's R&D team as a Data Scientist focused on developing predictive models and data-driven insights for materials and formulation design. Day-to-Day Responsibilities: Collect and preprocess experimental and database-driven data Develop and optimize predictive models using machine learning Perform data mining and statistical correlation analysis Support formulation design using computer vision and modeling techniques Present findings and insights to internal stakeholders and SMEs Collaborate closely with R&D, data engineering, and business teams Requirements: Must-Haves: PhD in Chemical Engineering, Analytical Chemistry, or related field Strong Python skills for data preparation, modeling, and visualization Experience with machine learning for R&D applications Background in data mining, predictive modeling, and statistical analysis Excellent communication skills and stakeholder engagement Nice-to-Haves: Familiarity with SQL or MongoDB Experience with cloud computing (Azure preferred) Background in material science or formulation research

**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.

Description: We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee. Top Skills' Details10+ years ML Architect AWS Snowflake python Strong Deployment skills Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. Our vision for digital, data analytics and AI: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack About Us Ecclesiastes provides highly skilled IT professionals to fill recruitment needs or offer solutions and support to complex tasks. We realize that most organizations have an understanding of where they want to go, but need assistance in creating and implementing a technology plan that supports their business goals. We utilize our years of experience, relationships, and skills to support our clients to help them achieve success. Our technology competence and business understanding ensure the efficiency, manageability, scalability, security and robustness of our clients' IT systems, meeting all their requirements in today's highly competitive environment. Vision Ecclesiastes will inspire its employees to be the best they can be. We will engage in sustainable practices and anticipate the needs of our customers. We will maximize return to the stockholders while still maintaining quality in our products. Mission Ecclesiastes aims to grow by expanding its relationships with existing clients, appending new clients, providing market-driven services, and adding personnel. Ecclesiastes is today one of the noted upcoming IT and consulting services company and intends to maintain profitability within an acceptable band. Careers We're so glad you're here. Wherever you are on your career journey, at Ecclesiastes the work you do will make an impact-on the lives of our customers, on the communities we support, and on the colleagues who drive our mission forward. Because people are the backbone of what we do and their total satisfaction is as important to us as our bottom line. At Ecclesiastes, we value the creative, the curious, and the conscientious because we believe it is the character of an individual that has the power to turn our ambitious ideals into shared realities. So come help small and medium sized businesses fulfill their potential as we encourage you to fulfill your own. Come join a company that values the individual, supports the underdog, and encourages growth. Hear why others already have.

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience designing, analysis, and refining experiments Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics Intellectual curiosity and drive, decisiveness, ambiguity and complexity Bachelor's degree required Preferred Qualifications Insurance industry experience Master's degree, or Advanced technical degree Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience of data modeling and data pipeline design Annual Salary $115,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

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

When you join Sallie, you become a champion for all students. Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. Sallie Mae's new venture, Sallie, is looking for people like you to be the founding members who will define the future of education services for students and their families in the U.S. As the first education solutions company, we're creating products and experiences that help students when they need it most - connecting them to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit **************************** to learn more about us. We are seeking a strategic and visionary Principal Data Scientist to lead our organization-wide data science initiatives. This role will be responsible for driving advanced analytics, machine learning, large language model (LLM), and AI initiatives while fostering a culture of data as a product. The ideal candidate is a seasoned, hands-on data scientist with deep technical expertise, strong product sense, and a passion for driving measurable business impact. Experience in advertising technology (AdTech), marketing analytics, or consumer data platforms is a strong plus. You'll thrive in this role if you enjoy working in an entrepreneurial, cross-functional, and fast-moving environment, collaborating with product, engineering, marketing, and leadership to define and execute the data science vision for Sallie. Key Responsibilities: Strategic Leadership * Define and execute the data science strategy that enables SallieSM's mission to help students and families access education resources. * Serve as the data science thought leader-partnering with senior leadership to identify, prioritize, and deliver high-impact analytical solutions. * Mentor and coach data scientists and analysts, fostering a culture of curiosity, rigor, and innovation. Advanced Modeling & Applied Machine Learning * Build, evaluate, and deploy advanced ML models and generative AI systems (including LLM applications) to drive customer engagement and personalization. * Develop frameworks for experimentation, causal inference, and optimization that inform product and marketing decisions. * Ensure responsible AI practices and interpretability across all modeling efforts. Data as a Product & Platform Enablement * Partner with engineering and product teams to design scalable data pipelines, feature stores, and analytical platforms. * Lead the evolution of data into managed products-complete with ownership, lifecycle, and measurable value delivery. * Define the architecture for model deployment, monitoring, and continuous improvement. Business & AdTech Impact * Translate complex analytical outputs into actionable recommendations that shape marketing strategy, customer acquisition, and retention efforts. * Partner with finance and business operations to develop forecasting and performance models. * Identify opportunities to monetize data responsibly and ethically through new data products and partnerships. Innovation & Thought Leadership * Stay ahead of trends in AI, MLOps, and data monetization; drive adoption of emerging techniques across teams. * Champion data ethics, governance, and compliance standards that align with Sallie Mae's trusted brand. * Contribute to building the data-driven foundation that powers SallieSM's growth and competitive edge. Basic Qualifications: * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, or related field. * 8+ years of experience in applied data science, machine learning, or quantitative research roles. * Proven expertise in statistical modeling, machine learning, and experimental design. * Strong programming proficiency in Python and SQL, with experience in tools such as PyTorch, TensorFlow, or Scikit-learn. * Hands-on experience with modern data stacks (Snowflake, Databricks, AWS, or GCP). * Demonstrated ability to translate data insights into strategic business outcomes. Preferred Qualifications: * Experience in AdTech, MarTech, or media analytics environments. * Experience deploying and scaling LLM or AI-powered applications. * Familiarity with financial modeling, forecasting, or marketing attribution. * Strong publication record or contributions to open-source projects. * Passion for responsible AI, fairness, and data ethics. Feeling your best helps you do your best: Our benefits take care of the whole you-so you can build your work around your life (not the other way around!). * Competitive base salaries * Bonus incentives * Generous PTO, Floating Holidays and 12 Federal Holidays observed * Support for financial-well-being and retirement 401k with employer match * Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more * Employer paid short-term/long-term disability and basic life insurance * Flexible hybrid working arrangements. * Paid parental leave and adoption reimbursement programs * Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) * Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives * Tuition Reimbursement and Family Scholarship Programs * Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice. Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call ************** and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

JobID: 210680498 JobSchedule: Full time JobShift: Day : Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities * Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. * Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. * Translate complex data into clear, actionable insights that inform strategic decisions. * Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. * Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. * Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. * Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. * Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills * Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. * Strong background in Python and SQL. * Proficient in Microsoft Office suite of products. * Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. * Ability to synthesize diverse information and develop actionable recommendation. * Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. * Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills * MS degree preferred To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Electricity Infrastructure and Buildings Division, part of the Energy and Environment Directorate, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. **Responsibilities** This position will provide support to the Laboratory's research in Optimization and Control of Energy Systems. This position will focus on research at the intersection of controls, learning, and computing with an emphasis on data driven and learning based control methods for enhancing the efficiency of energy systems including the electric power grid, buildings, and transportation systems. A successful candidate will be required to conduct independent research, develop new ideas and contribute to research proposals, engage with business development managers in relevant areas, prepare manuscripts for publication, and present their work to clients and at conferences. + Providing technical input on large, complex, formal documents, such as project reports, lead author on journal articles, conference papers, and presentations. + Selecting and developing technical approaches to project work assignments. + Contributing to technical proposals for developing new projects and business. + Working with senior staff and project managers to develop and implement project management plans for moderate to large projects. + Working in a team environment of high-performance multi-disciplinary experts. + Accountable to team leader, group leader and project managers for project development, execution, and closure. **Qualifications** Minimum Qualifications: + BS/BA and 2 years of relevant experience -OR- + MS/MA -OR- + PhD Preferred Qualifications: + Strong technical background in statistical methods, reinforcement learning, uncertainty quantification. + Good understanding of and interest in advanced grid modeling techniques, renewable energy systems, and energy policy. + Research experience in demand response, energy storage and other distributed energy resources. + Proficiency in programming languages such as Python, C++; experience in technical writing + Experience applying machine and deep learning or statistical methods to domain specific applications, such as buildings and power grid. **Hazardous Working Conditions/Environment** None **Testing Designated Position** This is not a **Testing Designated Position (TDP).** **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $114,000.00/Yr. **Maximum Salary** USD $182,100.00/Yr.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Senior Data Scientist within PNC's Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Wilmington, DE or Tysons Corner, VA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Job Summary: We are seeking a Senior Data Scientist to join our Marketing and Customer Analytics Modeling team. This role focuses on developing and deploying predictive models that drive targeted marketing strategies, optimize customer acquisition, and enhance portfolio performance. The ideal candidate combines expertise in statistical modeling and machine learning with business acumen to deliver practical modeling solutions for marketing. Key Responsibilities: * Collaborate with business partners to design, build, and validate predictive models in the credit card and consumer lending marketing domain using advanced statistical modeling and machine learning techniques. * Analyze large datasets to uncover insights, create meaningful features, and ensure data quality and relevance for modeling. * Present analytical findings and actionable insights to senior-level executives in a clear, compelling, and business-focused manner to support strategic decision-making * Track model performance over time, recalibrate as needed, and communicate results and implications to stakeholders. * Maintain thorough documentation of modeling processes, assumptions, and validation results to support compliance and model governance requirements. Preferred Skills and Experience: * Substantial experience applying statistical modeling and machine learning techniques within financial services; preferably in the credit card and/or consumer lending marketing domain. * Proficiency in Python, R and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop). * Excellent communication skills with the ability to explain complex approaches to non-technical stakeholders. * Understanding of marketing analytics, campaign measurement, targeting strategies, and experimental design. * Strong attention to detail. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. * Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. * Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. * Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.