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:
  1. A conversation with the hiring manager
  2. A practical case exercise
  3. 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 - $140,000
• 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.

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Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Work Where It's Best for You

Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments.

Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours.

We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less.

Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly.

Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers.

When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that.

Work at Veeva. Work where it's best for you.