--- title: 'Senior Data Scientist at Veeva Systems' canonical: 'https://feeny.ai/job/senior-data-scientist-veeva-systems-boston-hek1aneahsjv' type: 'job' last_seen: '2026-10-31' --- # Senior Data Scientist at Veeva Systems - **Company:** Veeva Systems - **Location:** Boston, MA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-29 - **Last confirmed live:** 2026-10-31 - **Apply:** https://jobs.lever.co/veeva/e314c65f-11aa-44a9-b078-3253eeadd9ef ## Job description Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. ## The Role As a Data Scientist on the Link Key Accounts team, you'll build the models and methodologies that turn multi-source healthcare data into reliable intelligence about healthcare organizations, their networks, and the people who make decisions inside them. The work spans both ends of the spectrum: quantitative analysis of claims and financial data, and qualitative inference — building org charts and mapping influence from titles, roles, and other soft signals. This is an early, high-latitude role with room to shape both the methods and the product. ## What You'll Do - Apply statistical and machine learning techniques to healthcare claims and other structured data to build new metrics and methodologies — for example, calculating readmissions and average length of stay across varied claims sources, producing all-payer estimates, and developing clinical ontologies - Transform public financial data into clear signals and a coherent story about the financial health of healthcare organizations - Build entity resolution and record-linkage models across health systems, provider organizations, employers, and payers - Develop affiliation and network mapping — inferring how organizations and people connect, and how influence and reporting structures flow across them - Infer organizational structure from qualitative signals, building org charts and decision-maker maps from titles, positions, and role characteristics - Design data-sourcing methodologies that evaluate, score, and combine heterogeneous inputs (public filings, web sources, licensed data) into accurate, defensible account signals - Build the models that power account targeting and segmentation — deciling, patient-volume and disease-state signals, strategic filters - Partner with Product, Data Engineering, Engineering, and QA to take solutions from prototype to production, then iterate and enhance ## Requirements - 5+ years of hands-on data science and statistics experience - 5+ years working with healthcare data and the US healthcare system - Experience with healthcare claims data (medical and/or pharmacy) and the metrics derived from it - Experience with healthcare organizational data (HCO/HCP, IDN, GPO, payer) - Experience developing clinical ontologies or standardized healthcare data models - Experience with entity resolution, record linkage, or fuzzy matching on real-world, imperfect data - Track record of inferring structure from noisy, incomplete data -  cleansing, experiment design, solution assessment, and scaling - Comfortable with ambiguity and turning goals into tangible work plans - Able to explain statistical and technical concepts to audiences of varying technical depth ## Nice to Have - M.S. in Statistics, Computer Science, Machine Learning, Mathematics, or another quantitative discipline Interviewing with Veeva We value your time and believe in a transparent hiring process. Here is the process you can expect. - Follow the application process and submit your resume. - Within 3 days, you will receive a link to a personality assessment administered by a third party. - Once you complete the assessment, our team will review your full application package and follow up via email with our decision. - If moving to the interview stage, the process is as follows: - A conversation with the hiring manager - A practical case exercise - A final conversation with our group's Senior Leader. - Once all interviews are complete, the manager will be in touch with a final decision. ## Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program ## Compensation - Base pay: $95,000 - $175,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-Associate Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. ## About Veeva Systems ## Company Overview - **One-liner**: Veeva Systems builds the industry cloud for life sciences — cloud software, AI, industry-specific data, and consulting that help pharmaceutical, biotech, and medical device companies bring therapies to market faster. - **Entity Type**: Public (NYSE: VEEV), converted to a Public Benefit Corporation (PBC) in February 2021 — the first public company to do so - **Headquarters**: Pleasanton, California, USA (4280 Hacienda Drive, Pleasanton, CA 94588) - **Founded**: 2007 - **Founders**: Peter Gassner and Matt Wallach ## Core Business - **Primary industry**: Life sciences technology / healthcare IT — serving R&D, clinical, regulatory, quality, safety, and commercial functions - **Target customers**: B2B enterprise — pharmaceutical, biotechnology, and medical device companies; over 1,000 customers globally - **Mission/purpose**: "Building the Industry Cloud for Life Sciences" — helping the industry become more efficient and effective so it can focus on creating quality products in shorter time frames while maintaining compliance ## Products & Services - **Veeva Vault Platform**: The core cloud platform with applications for Clinical, Regulatory, Quality, and Safety — consolidating critical processes in one central system to accelerate study timelines, streamline regulatory processes, and unify quality and safety operations. - **Veeva AI**: Agentic AI added to the Veeva Vault platform, with deep, industry-specific agents for Veeva applications — designed to connect sponsors, sites, patients, and regulators more effectively and increase industry productivity. - **Commercial Solutions**: Applications, data, and analytics for marketing and commercial teams to maximize campaign performance. - **Consulting Services**: Business consulting alongside software, data, and AI to support customers' most critical business processes from R&D through commercialization. ## Market Standing - **Valuation/Market Cap**: Publicly traded (NYSE: VEEV); specific market cap not stated in cited sources. - **Key Metric**: 975+ customers (careers site) / 1,000+ customers (corporate site); close to 8,000 employees at end of fiscal 2026. - **Notable Investors/Partners**: Not disclosed in cited sources; as a public company with an extensive partner ecosystem supporting its cloud solutions. - **Growth Signals**: Added a net 637 employees in fiscal 2026, ending the year with close to 8,000 employees; launched Veeva AI as a major portfolio expansion; has grown steadily "without the need for significant layoffs historically"; product hubs span Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. ## Competitive Advantages - **Industry-specific depth**: Unlike generic enterprise software, Veeva is built exclusively for the highly regulated life sciences industry, covering the full value chain from clinical through commercial. - **Public Benefit Corporation structure**: Legally obligated to balance shareholder interests with customers, employees, partners, the life sciences industry, and communities — a durable differentiator in talent and customer trust. - **Scale and switching costs**: Deep integration across R&D, quality, regulatory, and commercial workflows for over 1,000 customers creates significant lock-in. - **No non-compete agreements**: Veeva does not require employees to sign non-competes and has taken legal action to fight their unfair use — a strong cultural and recruiting advantage. - **Clear values in priority order**: Do the Right Thing, Customer Success, Employee Success, Speed. ## Strategic Focus - **Industry cloud expansion**: Continuing to build out the full industry cloud — software, AI, data, and consulting — to become "essential to and appreciated by" the life sciences industry. - **Veeva AI rollout**: Making agentic AI a transformative layer across the Vault platform to increase innovation and productivity from drug development through commercialization. - **High-quality job creation**: Investing in people with tech-enabled hiring tools, manager training (with direct CEO involvement), and fair, flexible employment — while maintaining steady, measured growth without significant layoffs. - **Long-term durable growth**: Operating as a PBC with a commitment to the life sciences industry's critical functions. ## Why Work Here - **Work Anywhere policy**: Employees can work from home or the office on any given day; product teams are organized in regional hubs (Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, Toronto) with regular in-person collaboration. - **Culture and values**: Collaborative environment where employees are "treated with respect" and supported to "captain their own ship" toward growth; values are explicitly prioritized: Do the Right Thing, Customer Success, Employee Success, Speed. - **Giving back**: 1% Veeva Giving program — each employee receives an amount equal to 1% of their base salary annually to donate to non-profits of their choice; giving is entirely employee-driven. - **Equity for employees**: Equity program designed so the vast majority of employees participate and benefit financially in the company's growth. - **No non-compete clauses**: Employees are free to work where they choose, and the company actively fights unfair non-compete practices in the industry. - **Stability with growth**: "Measured and thoughtful" hiring that has historically avoided significant layoffs, with net headcount growth of 637 in fiscal 2026. - **Meaningful work**: Directly supports life sciences companies in their mission to improve and extend life. ## Sources 1. [veeva.com](https://www.veeva.com/) 2. [careers.veeva.com](https://careers.veeva.com/) 3. [careers.veeva.com — Why Veeva](https://careers.veeva.com/why-veeva/) 4. [veeva.com — Corporate Citizenship](https://www.veeva.com/corporate-citizenship/) 5. 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