VP, Data Science
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Job Description
VP of Data Science leading data science and R&D teams for insurance efficiency at Coterie. Championing a culture of collaboration and continuous improvement, translating business needs into actionable data science priorities.
Responsibilities:
- Own the roadmaps for the data science and research and development (R&D) subdomains of DnA
- Partner with key stakeholders in compliance, data, engineering, insurance, revenue and security to translate business needs into data science and R&D priorities
- Clearly communicate strategy, progress, risks and recommendations to executive audiences, technical teams and non-technical stakeholders
- Guide data science and R&D subdomains through complex tradeoffs involving business impact, explainability, regulatory considerations, rigor, scalability and speed
- Champion a culture of accountability, collaboration, continuous improvement and intellectual curiosity while ensuring the team remains focused on enterprise priorities rather than isolated technical outputs
- Serve as a senior-level people leader within DnA; responsible for career development, performance expectations and succession plans that support sustainable growth
- Evaluate and improve the tools, processes, metrics and partnerships needed to scale data science and R&D capabilities efficiently across Coterie
Requirements:
- Master's degree or higher in Computer Science, Data Science, Economics, Engineering, Mathematics, Operations Research, Statistics or a related quantitative field
- 10+ years of professional data science experience
- 5+ years of experience managing data teams including coaching, hiring, leadership development, organizational design and performance management; demonstrated success establishing and maintaining accountability, scaling processes and teams
- Strong executive presence and communication skills including the ability to explain complex analytical concepts, model tradeoffs, research outcomes and strategic recommendations to senior stakeholders
- Deep understanding of the data science lifecycle including problem framing, exploratory analysis, experimentation, model development, testing, deployment, monitoring, governance and business impact measurement
- Strong cross-functional leadership skills with a track record of partnering effectively with compliance, data, engineering, insurance, revenue and security teams
- Technical fluency with technologies such as AWS/Azure/GCP, Databricks, Posit and scripting languages (Python, R, SQL)
- Technical fluency with topics such as AI agents and systems, experimental design, LLMs, MLOps, ModelOps
Benefits:
- 100% remote
- Health insurance through Aetna (we pay 100% of premiums)
- Dental and vision insurance through Guardian (we pay 100% of premiums)
- Basic life insurance (we pay 100% of premiums)
- Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)
- 401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participate
- Flexible PTO is expected to align with business needs and generally does not exceed approximately 5 weeks per calendar year.
- 12 company-paid holidays each year
- Continuing education annual stipend
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