Principal Data Scientist, Commercialization

We are looking for a deeply technical, intellectually curious Principal Scientist who is excited about the power of AI and motivated to ship solutions that meaningfully change how commercial teams operate.This role is ideal for a hands-on expert who codes, experiments, and delivers AI solutions, and who is eager to become a technical leader in advanced ML and AI methods that push the boundaries of what pharma commercial teams can do.Collaborate with commercial, marketing, and field leadership to define business requirements and translate them into scalable solution roadmap.**Required Education and Experience** Master’s degree with significant relevant experience. typically, 5+ years of hands-on data science experience. 8+ years of experience with Proven experience building and deploying analytical or ML solutions in production environments. For Senior Principal level: experience leading and owning complex projects or productsExperience working with healthcare or life sciences data (e.g., claims, EHR, commercial data) is strongly preferred. **Required Knowledge, Skills, and Abilities** Strong proficiency in Experience with modern machine learning techniques and model lifecycle management. Familiarity with cloud based data platforms such as Experience building or productionizing LLM-powered or AI-driven applications (e.g., RAG pipelines, agentic workflows) is a strong plus. Ability to operate effectively in fast paced, ambiguous environments where decisions are made with clear goals but imperfect data.Strong communication skills, with the ability to convey complex analytical concepts to nontechnical audiences.Demonstrated ability to collaborate cross functionally and influence without authority.The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.In this Hybrid-Eligible role, you can choose to be designated as: 1. **Hybrid**: work remotely up to two days per week; **or select** 2. **On-Site**: work five days per week on-site with ad hoc flexibility. #J-18808-Ljbffr