Data Scientist

About the role

Veeva is a public benefit corporation focused on cloud software for the life sciences sector. This role involves building models to convert complex healthcare data into actionable intelligence regarding organizational structures and professional networks. You will architect analytical frameworks that transform fragmented healthcare information into coherent strategic insights. The position requires a deep understanding of the life sciences ecosystem to drive data-centric decision-making. You will own the end-to-end process of converting raw healthcare data into structured knowledge. Your work will directly influence how organizations understand and engage with their markets. You will be responsible for defining the analytical backbone of key initiatives. The role demands intellectual curiosity and a commitment to solving complex data challenges.

Key facts

What you'll do

• Design and implement machine learning pipelines to process healthcare claims and structured data, creating novel metrics that reveal market dynamics.
• Analyze public financial filings and disclosures to construct detailed financial health profiles of healthcare entities using computational text analysis.
• Engineer entity resolution algorithms to accurately link records across disparate payer, provider, and health system databases.
• Develop graph-based models to map intricate professional networks and organizational hierarchies by inferring relationships from job titles and role descriptions.
• Construct robust methodologies to score, validate, and integrate heterogeneous data inputs from web sources, publications, and licensed datasets.
• Build predictive segmentation models that classify healthcare organizations based on patient volume, disease burden, and strategic positioning.
• Partner with engineering and product teams to translate analytical prototypes into scalable production systems with high reliability.
• Establish data quality frameworks to ensure the accuracy and consistency of derived metrics throughout the analytics lifecycle.
• Lead experiments to derive structure from incomplete and noisy healthcare data, iterating on models to improve signal fidelity.
• Translate ambiguous business objectives into precise technical specifications and execution plans for data science projects.
• Serve as a technical communicator, presenting complex analytical findings to non-technical stakeholders in a clear and actionable manner.
• Optimize data processing workflows to handle large-scale healthcare datasets efficiently and cost-effectively.
• Contribute to the development of standardized healthcare data models and clinical ontologies that enhance analytical consistency.
• Mentor junior analysts and data scientists on best practices for healthcare data analysis and model development.

Requirements

• Demonstrate 5+ years of professional experience in statistics and data science, with a proven track record of delivering impactful analytical solutions.
• Show 5+ years of dedicated experience working with the US healthcare system, including familiarity with its unique data structures and regulatory environment.
• Exhibit proficiency in analyzing medical or pharmacy claims data and deriving meaningful metrics such as utilization rates and cost analysis.
• Possess hands-on experience with healthcare organizational data categories, including Hospital Compare (HCO), Healthcare Provider (HCP), Integrated Delivery Network (IDN), and Group Purchasing Organization (GPO) datasets.
• Have a background in building and maintaining standardized healthcare data models or clinical terminologies such as ICD, CPT, or NDC.
• Have substantial experience performing fuzzy matching, record linkage, or entity resolution on imperfect and high-dimensional datasets.
• Show the ability to derive coherent structure from incomplete data through rigorous experiment design and scalable analytical methods.
• Demonstrate capability to translate high-level strategic goals into concrete, executable technical plans and project roadmaps.
• Exhibit strong communication skills for explaining intricate technical concepts and model outputs to non-technical stakeholders and decision-makers.
• Show commitment to data integrity, reproducibility, and ethical analysis in all stages of the data science lifecycle.
• Possess experience working in a collaborative agile environment, interfacing effectively with cross-functional teams.
• Show willingness to engage with complex business problems and drive solutions that balance analytical rigor with practical implementation.
• Demonstrate ownership of analytical results and the ability to iterate based on feedback and evolving business needs.
• Show understanding of data privacy principles and best practices relevant to handling sensitive healthcare information.

Nice to have

• Hold an M.S. in Mathematics, Computer Science, Statistics, Machine Learning, or a related quantitative field.
• Have prior experience with Veeva products or the life sciences cloud software landscape.
• Possess knowledge of healthcare regulatory frameworks such as HIPAA and FDA guidelines.
• Show experience with natural language processing techniques for extracting insights from clinical notes and medical literature.
• Demonstrate familiarity with cloud platforms such as AWS, Azure, or GCP for deploying data solutions.
• Have background in A/B testing methodology and experimental design for evaluating analytical models.
• Show experience with data visualization tools to create executive-level dashboards and reports.

Practical notes

Base salary range is $95,000 to $175,000, with potential for variable or stock bonuses. Benefits include medical, dental, vision, life insurance, retirement programs, and flexible PTO. The hiring process includes a personality assessment, a conversation with the hiring manager, a practical case study, and a final interview with a senior leader. For disability accommodations during the application process, contact talent_accommodations@veeva.com.