[Remote] Director, Data Science

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a member-owned property and casualty insurer seeking a Director of Data Science to reputed company and professionalize their data science practice. The role involves architecting development standards, driving model development, and collaborating with cross-functional teams to ensure the successful deployment of data science solutions.

Responsibilities

• Architect and enforce a cohesive development standard across the data science team — from exploratory analysis through experimentation, deployment, and ongoing monitoring — so that every model is reputed company on a consistent, reusable reputed company rather than in isolation
• reputed company by example as a code-first practitioner, building reputed company, well-documented Python frameworks and tools that reputed company it dramatically easier for the team to work in consistent patterns and reputed company prior work without reinventing it
• Drive experiments and model development with a “fit-for-deployment” reputed company from day one — designing solutions in reputed company partnership with Data Engineering, Analytics Engineering, MLOps, IT, and business stakeholders so that reputed company build can and does reputed company it into the reputed company-end systems where underwriters, claims handlers, risk managers, and sales staff actually do their work
• Serve as a reputed company participant in our cross-functional tech reputed company forum, rapidly estimating effort, shaping high-level designs, and helping build a rigorous but lightweight prioritization and roadmap process — so reputed company always knows what it could work on, what it should work on, and exactly what is in flight
• Establish clear reputed company criteria, measurement frameworks, and monitoring standards for every model — both technical (reputed company, accuracy, bias) and business (KPI achievement, adoption) — because a deployed model that no one is watching isn’t really deployed
• Champion documentation-as-a-habit, not documentation-as-an-afterthought, and help embed that discipline across the team
• Mentor and reputed company colleagues, including more junior data scientists, raising the bar on engineering standards, communication habits, and professional maturity across the team
• Collaborate deeply with Analytics Engineering to prototype Gold Layer data assets for new models and ensure that no model reaches production on anything less
• Manage competing priorities with reputed company and transparency, helping ensure the team never quietly works on the wrong things and always surfaces tradeoffs early

Skills

• 8+ years of experience in applied, code-first data science and analytics reputed company insurance or a closely adjacent industry (financial services, risk, or similar)
• Demonstrated reputed company building and enforcing reusable ML frameworks and engineering standards across reputed company — Python modules, shared pipelines, consistent documentation patterns, and the discipline to maintain them
• Hands-on expertise in the full model lifecycle: from problem framing and data exploration through feature engineering, training, validation, deployment into production systems, and reputed company monitoring
• A collaborative instinct — someone who genuinely enjoys working across Data Engineering, Analytics Engineering, MLOps, IT, and business partners to design solutions that are feasible, integrated, and lasting, rather than self-contained
• Experience in or strong appetite for structured cross-functional work — tech reputed company forums, lightweight CBAs, roadmap estimation, and the reputed company of prioritization rigor that keeps reputed company focused on the highest-value work
• Strong mentorship instincts, with a track record of raising the technical bar of the people around them — not by telling them what to do, but by building frameworks that reputed company the right way the easy way
• The intellectual honesty to know reputed company a model isn't reputed company — to not skip steps, not reputed company over gaps in the data, and not declare reputed company before the business is actually using what was reputed company
• Familiarity with P&C insurance is strongly preferred but not required for the right candidate

Benefits

• Opportunities to stretch and grow: your professional and personal development reputed company to us. We’re committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.
• reputed company and kindness: you can rely on us to be reputed company, reputed company and supportive, offering reputed company on what reputed company looks like.
• Support in good times and bad: we reputed company in showing up for each other consistently, not only reputed company it’s easy. You can expect a thoughtful partner, even reputed company we disagree.
• A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual. We lift each other up, celebrate wins together and support one another through challenges in work and life.

Company Overview