Senior Director, Data Science ( {{city}})

Senior Director of Data Science

South San Francisco, CA (Hybrid 23 days/week)

Full-Time | Base Salary: $250275k + Bonus (Total Compensation: $315345k)

About the Opportunity

A mission-driven technology company in the healthcare space is seeking a Senior Director of Data Science to lead a high-impact, cross-functional team. This role will be central to building and scaling advanced data science solutions that drive real-world impact in patient access, treatment effectiveness, and commercial performance. Youll have the opportunity to own the strategic direction of data initiatives while remaining hands-on with cutting-edge machine learning work.

Why Join?

• Meaningful Impact: Contribute directly to solutions that improve outcomes for patients with complex conditions.
• Advanced Technology: Work with rare, high-fidelity healthcare datasets and deploy ML into production environments.
• Proven Traction: Join a revenue-generating platform used across dozens of enterprise clients and product launches.
• Leadership Opportunity: Lead a team of expert data scientists and engineers in a collaborative, innovation-focused environment.

Team & Scope

Youll manage a diverse team of 5 professionals, including:

• End-to-end Data Scientists (including one with engineering specialization)
• An Analytics Engineer
• A Data Science Analyst

The team currently owns deployment pipelines and collaborates closely with product, engineering, and customer-facing functions. Over time, the focus will shift increasingly toward research, rapid prototyping, and emerging AI applications.

What Youll Be Doing

• 60% | Leading the team: coaching, strategic planning, roadmap execution
• 20% | Technical oversight: reviewing models, guiding architecture, QA
• 20% | Stakeholder communication: aligning with product, commercial, and technical leaders

Examples of Ongoing & Future Projects

• Foundational data model expansion for large-scale analytics
• Predictive models for patient adherence and insurance claim outcomes
• Recommendation systems for treatment pathways and product optimization
• Embedded ML-driven product features
• Conversational AI (e.g., retrieval-augmented chat interfaces)
• Prototyping next-gen agentic AI tools
• Analytics consulting for external healthcare partners

Ideal Candidate Background

Core Experience :

• 7+ years in data science or analytics (open to 5+ for standout candidates)
• 3+ years in commercial healthcare or biopharma analytics (or similar consulting background)
• Experience managing a technical team (3 or more direct reports)
• Deep fluency in Python (Pandas, PySpark) and SQL
• Applied ML experience: classification, regression, NLP, experimentation, etc.

Preferred Expertise :

• Experience with rare diseases, oncology, or other specialty therapies
• Familiarity with Snowflake, Airflow, and production data pipelines
• Prior roles in data-centric consulting or healthcare product teams

Personal Attributes :

• Intellectually curious and a fast learner
• Thrives in a builder environment with evolving challenges
• Skilled at bridging technical depth with business impact
• Comfortable presenting to clients and internal stakeholders

Candidates must be authorized to work in the US for consideration.

**An advert never does a role justice so if you're not sure, feel free to apply and one of our consultants will give you a call to give you a more detailed overview!**