> Markdown version of [/jobs/ext/3777149-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3777149-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Definitive Healthcare, LLC - **Location:** Framingham, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Microsoft Excel, Big Data, Clinical Data Repository, Cyber Security, Computer Programming, Data Transformation, Data Systems, Python (Programming Language), NumPy, SQL Databases, Data Processing, Information Security Management System, Generative AI, Pandas, Scikit Learn, Information Technology, Data Analytics - **Published:** October 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/obbt1qiw16 ## About the Role The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage., Bachelors or Masters degree in computer science, Statistics, Data Science, or a related quantitative field. * 3-5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL and Python. * Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets is mandatory. * Strong programming skills in Python, including data manipulation, wrangling, and analysis using libraries such as pandas, NumPy, and scikit-learn. * Advanced proficiency in SQL for working with large, complex relational datasets. * Comfortable working with large-scale data and able to assess existing processes to identify opportunities for improvement. * Sound knowledge of statistics, data modeling, and predictive analytics. * Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical findings. * Strong interpersonal, communication, and presentation skills, with the ability to explain technical concepts to non-technical stakeholders. * Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic environment. ## Description We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches., * Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python. * Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain. * Create data-driven deliverables and visualizations to support customer engagements and business decision-making. * Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients. * Collaborate with global and cross-functional teams to design and implement optimized data solutions. * Develop scalable tools such as solution workbenches and automated reporting systems. * Scope, prioritize, and independently handle client requests with minimal supervision. * Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows. * Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes. * Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling., * Comply with information security policies and processes * Report security weaknesses, events or potential events, or other security risks, to the organization * Execute all tasks related to information security management system as appropriate