Scientist Jobs

About The Position

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