Director, Data Science

The Muse

Director of Data Science at PURE leading data science practice and scaling engineering discipline. Collaborating with stakeholders to build deployment-ready models and frameworks.

Posted 6/13/2026full-time🇺🇸 United StatesLead💰 $155,000 - $185,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Architect and enforce a cohesive development standard across the data science team.
Lead by example as a code-first practitioner, building modular, well-documented Python frameworks and tools.
Drive experiments and model development with a “fit-for-deployment” mindset from day one.
Serve as a principal participant in our cross-functional tech lead forum.
Establish clear success criteria, measurement frameworks, and monitoring standards for every model.
Champion documentation-as-a-habit, not documentation-as-an-afterthought.
Mentor and elevate colleagues, including more junior data scientists.
Collaborate deeply with Analytics Engineering to prototype Gold Layer data assets for new models.
Manage competing priorities with clarity and transparency.

Requirements

What you’ll need

8+ years of experience in applied, code-first data science and analytics within insurance or a closely adjacent industry (financial services, risk, or similar).
Demonstrated success building and enforcing reusable ML frameworks and engineering standards across a team.
Hands-on expertise in the full model lifecycle: from problem framing and data exploration through feature engineering, training, validation, deployment into production systems, and continuous monitoring.
A collaborative instinct — someone who genuinely enjoys working across Data Engineering, Analytics Engineering, MLOps, IT, and business partners.
Experience in or strong appetite for structured cross-functional work.
Strong mentorship instincts, with a track record of raising the technical bar of the people around them.
The intellectual honesty to know when a model isn’t ready.

Benefits

Comp & perks

Opportunities to stretch and grow: your professional and personal development matters to us.
Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like.
Support in good times and bad: we believe in showing up for each other consistently, not only when it’s easy.
A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningmodel lifecyclefeature engineeringdata explorationmodel validationmodel deploymentcontinuous monitoringreusable ML frameworksengineering standards

Soft Skills

mentorshipcollaborationleadershipcommunicationclaritytransparencyproblem framingintellectual honestyprioritizationteamwork