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Senior Director, Data Science

Senior Director, Data Science

HarnhamHayward, CA, US
30+ days ago
Job type
  • Full-time
Job description

Senior Director of Data Science

South San Francisco, CA (Hybrid – 2–3 days / week)

Full-Time | Base Salary : $250–275k + Bonus (Total Compensation : $315–345k)

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. You'll 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

You'll 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 You'll 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!

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    Director Data Science • Hayward, CA, US

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