Leidos is seeking a Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs. Who we are: Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. Leidos Civil Group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient. In this role, you will: - Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution. - Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets. - Build transparent, reproducible pipelines and analysis environments in cloud infrastructures. - Produce crisp exhibits and memos that explain methods, limitations, and uncertainty. - Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science. - Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders. - Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings. - Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results. - Mentor teammates on best practices. - Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects Basic Qualifications: - Bachelors degree with 8+ years of applied data science experience or a Master’s degree with 6+ years of prior relevant experience. - Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL. - Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.) - Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data. - Expertise with data visualization tools (e.g. Tableau, Matplotlib). - Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents). - Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance. - Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges. - Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential. - Familiarity with FISMA/NIST/Zero Trust security frameworks - Current Principal Data Scientist (PDS) Certification. Preferred Qualifications: - Experience with Spark/Databricks. - PhD preferred in Statistics, Mathematics, or a related quantitative field. - Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus. - Experience producing reproducible, peer-reviewed-method analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges (methods, error rates, standards/controls, and appropriate bounds on conclusions) - Contribution to open-source projects or participation in relevant data science communities. At Leidos and within our team, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. We have a growing portfolio of projects, and for us, helping you grow your career is good business. We’d like to learn more about you, apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: April 22, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0-to-1 space. We are seeking an experienced Manager, Ads DSE Measurement & Audience Insights to lead the development and delivery of innovative first-party measurement solutions, enable seamless integration with third-party measurement providers, and deliver end-to-end measurement reporting that powers actionable post-campaign insights. Your team will be responsible for defining incrementality design and methodology, drive cross-platform comparability, and ensure the accuracy of our reporting frameworks. This critical role will be responsible for establishing a scientifically rigorous, privacy-forward foundation for campaign impact measurement. The ideal candidate will bring a strong track record of partnering with product, engineering, and regional measurement teams to build measurement products that are both technically robust and commercially valuable. Join us and help shape the future of ad measurement through science, experimentation, and productized insights! Responsibilities - Build, lead, and inspire a high-performing team of data scientists and analytics engineers. - Foster strong, collaborative partnerships with key stakeholders across Product, Engineering, and GTM teams. - Define and execute a team charter and measurement roadmap that scales with the business—prioritizing high-impact initiatives, product integrations, and standardized post-campaign reporting capabilities. - Act as a bridge between technical and commercial teams, bringing deep understanding of the ads ecosystem—including how CTV campaigns are served, measured, and optimized—to shape both product features and go-to-market narratives. - Oversee integration and validation of third-party measurement partners, ensuring accuracy, consistency, and interoperability with internal systems while evaluating when first-party solutions provide differentiated value. - Ensure the delivery of consistently high-quality, statistically rigorous measurement outputs, including campaign lift results, incrementality experiments, and actionable insights that influence product direction and client strategies. - Champion clarity in reporting and visualization, guiding the development of self-serve dashboards, post-campaign wrap reports, and executive summaries that resonate with both technical and non-technical audiences. The Ideal Candidate - Proven leadership experience with a strong focus on data-as-a-product solutions, including building first-party measurement frameworks, self-serve reporting tools, and actionable insights platforms. - Demonstrated tenacity and resilience in driving complex, cross-functional projects—able to navigate challenges, propose innovative solutions, and scale measurement and reporting capabilities that meet diverse business needs. - A dual thinker—highly quantitative and capable of translating complex data sets into actionable business insights, while also demonstrating high emotional intelligence (EQ) to act as a trusted product ambassador to internal teams and external business partners. - Player-coach mindset—able to develop long-term measurement roadmaps and product strategies, while simultaneously executing hands-on technical tasks and ensuring the team delivers high-quality, impactful outputs. - Excellent communicator, able to build relationships, communicate technical and non-technical information clearly, write detailed reports, and deliver compelling presentations to internal and external partners. - Business-minded with the ability to translate strategic objectives into actionable analyses, and use those insights to drive data-driven recommendations that optimize product offerings and advertising effectiveness. - A passion for TV and movies, and defining the future of entertainment. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $432,000.00 - $675,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Homeward is rearchitecting the delivery of health and care in partnership with communities everywhere, starting in rural America. Today, 60 million Americans living in rural communities are facing a crisis of access to care. In the U.S. healthcare system, rural Americans experience significantly poorer clinical outcomes. This trend is rapidly accelerating as rural hospitals close and physician shortages increase, exacerbating health disparities. In fact, Americans living in rural communities suffer a mortality rate 23 percent higher than those in urban communities, in part because of the lack of access to quality care. Our vision is care that enables everyone to achieve their best health. So, we’re creating a new healthcare delivery model that is purpose-built for rural America and directly addresses the issues that have historically limited access and quality. Homeward supports Medicare-eligible beneficiaries by partnering with health plans, providers, and communities to align incentives – taking full financial accountability for clinical outcomes and the total cost of care across rural counties. As a public benefit corporation and Certified B Corp™, Homeward’s mission and business model are aligned to address the healthcare, economic, and demographic challenges that make it challenging for rural Americans to stay healthy. Our Homeward Navigation™ platform uses advanced analytics to connect members to the right care and local resources that address social determinants of health and improve holistic health outcomes. Since many rural communities lack adequate clinical capacity, Homeward also employs care teams that supplement local practices and reach people who cannot otherwise access care. Homeward is co-founded by a leadership team that defined and delivered Livongo’s products, and backed most recently by a $50 million series B co-led by Arch Ventures and Human Capital, with participation from General Catalyst for a total of $70 million in funding. With this leadership team and funding, Homeward is committed to bringing high-quality healthcare to rural communities in need. Homeward Health Inc. seeks Senior Data Scientist in San Mateo, CA Job Duties: Deliver analytic and data science products – from business intelligence to analytics to predictive modeling – within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care). Develop risk stratification models using EHR, claims, RA, actuarial experience, and a variety of other data sources to match our members with the appropriate care pathways. Conduct opportunity assessments for reducing total cost of care or improving code capture as we work in new geographies and with new clients and partners. Evaluate the effectiveness of service delivery for different population segments relative to clinical and cost outcomes. Collaborate with the Technology team to purpose-build a healthcare data infrastructure that supports high-impact analytics. Telecommuting is an option. Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Bioinformatics, or closely related quantitative discipline, and two (2) years of experience in job offered or in any occupation in a related field. Special Skill Requirements: (1) Healthcare Analytics; (2) SQL; (3) Python; (4) Statistical analysis; (5) Data visualization; (6) large datasets; (7) Scikit-learn; (8) AWS; and (9) Databricks. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Salary: $133,952.00 - $168,000.00 per annum; 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Must be legally authorized to work in the U.S. without sponsorship.

Support drug development programs by advising regulatory teams, preparing for agency meetings, and ensuring timely responses to regulatory queries. Collaborate cross-functionally to align documents with regulatory requirements and improve submission...