[NJ] Engagement Lead - Analytics

ProcDNA • Princeton, NJ

3d • Onsite

About The Position

ProcDNA is seeking a Data Scientist to join our team. The ideal candidate brings deep experience leading advanced analytics and machine learning work in the pharma industry and can translate complex business problems into clear analytical strategies. You are comfortable owning end-to-end delivery, leading client conversations, mentoring teams, and shaping internal product offerings that can be scaled across engagements.

Requirements

• Master’s degree or higher in a quantitative field with a strong academic record.
• 5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
• Strong applied Statistical foundation for building and evaluating models
• Strong experience with ML and AI modeling concepts and practical application across multiple projects.
• Expertise in SQL and strong fluency with relational datasets.
• Extensive Python or R experience for analysis and modeling.
• Excellent communication skills, verbal and written, with strong client-facing presence.
• Strong problem-solving mindset, detail orientation, and ability to independently manage dynamic, multi stakeholder workstreams.

Nice To Haves

• Experience leading advanced analytics and machine learning work in the pharma industry
• Ability to translate complex business problems into clear analytical strategies
• Comfortable owning end-to-end delivery
• Experience leading client conversations
• Experience mentoring teams
• Experience shaping internal product offerings that can be scaled across engagements

Responsibilities

• Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation, taking lead on approach decisions and tradeoffs.
• Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
• Set and enforce standards for rigor, documentation, and reproducibility across the workstream, ensuring outputs are audit-ready and client-ready
• Lead client discussions and presentations, translating technical results into clear business wins.
• Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations

What This Job Offers

• Job Type: Full-time
• Career Level: Senior