VP, Data Science

Coterie

. Own the roadmaps for the data science and research and development (R&D) subdomains of DnA .

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesLead💰 $185,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencedata science lifecycleproblem framingexploratory analysisexperimentationmodel developmenttestingdeploymentmonitoringgovernance

Soft Skills

executive presencecommunication skillscross-functional leadershipcoachingperformance managementaccountabilitycollaborationcontinuous improvementintellectual curiosityorganizational design

Certifications

Master's degreePhD