Data Scientist

About Definitive Healthcare: At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact. Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011. We’re also a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In’s 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India. We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection,

, and inclusion. We are looking for a Data Scientist to help shape the next generation of analytics that power our products. This role is ideal for someone who thrives at the intersection of data science, product innovation, and healthcare commercialization.

As a Data Scientist, you will design, develop, and operationalize advanced analytics that enhance the value of Definitive Healthcare’s proprietary datasets. You’ll lead strategic product initiatives, build scalable models, and translate complex data into actionable insights that support our clients’ commercial strategy goals. You will guide analytic frameworks and collaborate closely with product, engineering, and subject matter experts to bring new capabilities to market. What You’ll Do • Transform complex data into clear insights by synthesizing large datasets into compelling narratives, frameworks, and recommendations that drive client value. • Develop scalable analytics and models (e.g., forecasting, segmentation, NLP, ML pipelines) that integrate directly into Definitive Healthcare products. • Lead strategic product enhancements, including defining project plans, managing timelines, and ensuring high quality execution. • Build deep domain expertise in healthcare markets, therapeutic areas, and commercial strategy to inform product innovation. • Oversee quantitative analysis and guide methodological decisions to ensure rigor, accuracy, and scalability. • Collaborate cross functionally with product managers, engineers, and commercial strategy experts to align analytics with product and business goals. • Promote best practices in modeling, documentation, reproducibility, and knowledge sharing across the data science organization. • Contribute to thought leadership by supporting internal research, whitepapers, and analytic frameworks that elevate Definitive Healthcare’s market presence. What You Bring • BA/BS in Statistics, Computer Science, Engineering, Mathematics, or related field; MS preferred. • 3+ years of experience applying machine learning, NLP, or advanced analytics—ideally within life sciences, healthcare, or commercial strategy. • Expert proficiency in Python, SQL, and Jupyter Notebook environments. • Hands‑on experience with PySpark for building scalable data pipelines, processing large datasets, and optimizing distributed analytics workflows in cloud environments. • Strong working knowledge of cloud based data environments (Azure preferred; AWS or GCP acceptable). • Demonstrated experience with quantitative modeling, forecasting, segmentation, and analytic frameworks. • Domain experience in Commercial Strategy, Market Access, or Pricing is highly desirable. • Exceptional communication skills, including the ability to translate technical concepts for nontechnical audiences. • Strong project management skills with the ability to lead complex initiatives and collaborate across teams. • High motivation, strong work ethic, and comfort working in a fast paced, deadline driven environment. • Proficiency with Microsoft Office tools, especially PowerPoint and Excel. Compensation and