Senior Data Scientist

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.

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.

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.

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

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

M.S. in Statistics, Computer Science, Machine Learning, Mathematics, or another quantitative discipline

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.

Medical, dental, vision, and basic life insurance

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

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.

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 [email protected].