Senior Data Analyst

Veeva; Boston (MA); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Job summary

Veeva is seeking a Data Scientist on the Link Key Accounts team to turn multi-source healthcare data into reliable intelligence about 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.

Qualifications

• 5+ years hands-on data science and statistics experience.
• 5+ years working with healthcare data and the US healthcare system.
• Experience with healthcare claims data 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 data.
• Track record of inferring structure from noisy, incomplete data - cleansing, experiment design, solution assessment, and scaling.
• Ability to explain statistical and technical concepts to audiences of varying technical depth.
• MS in Statistics, CS, ML, Mathematics, or another quantitative discipline.

Responsibilities

• Apply statistical and machine learning techniques to healthcare claims and other structured data to build new metrics and methodologies.
• Transform public financial data into signals and a coherent story about financial health of healthcare organizations.
• Build entity resolution and record-linkage models across health systems, providers, employers, and payers.
• Develop affiliation and network mapping — inferring connections and influence across structures.
• Infer organizational structure from qualitative signals, building org charts and decision-maker maps.
• Design data-sourcing methodologies that evaluate, score, and combine heterogeneous inputs into accurate signals.
• Build models powering account targeting and segmentation with signals and filters.
• Partner with Product, Data Engineering, Engineering, and QA to take solutions from prototype to production.

Skills

Statistical analysis

Machine learning

Data wrangling

Communication

Problem solving

Explaining technical concepts

Education

M.S. in Statistics or quantitative field

Job description

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.

Responsibilities

• 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

Qualifications

• 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

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.

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 [e-mail].