Director, Data Science

Pure Group Holdings Inc.

Job Overview

Location

Remote - US

Job Type

Full-time

Full Job Description

📋 Description

• Architect and enforce cohesive development standards across the data science team, ensuring every model is built on a consistent, reusable foundation from exploratory analysis through deployment and monitoring.
• Lead by example as a code-first practitioner, building modular, well-documented Python frameworks and tools that enable the team to extend prior work without reinventing solutions.
• Drive model development with a "fit-for-deployment" mindset from day one, collaborating closely with Data Engineering, Analytics Engineering, MLOps, IT, and business stakeholders to ensure solutions integrate into front-end systems used by underwriters, claims handlers, and risk managers.
• Serve as a principal participant in the cross-functional tech lead forum, rapidly estimating effort, shaping high-level designs, and contributing to a rigorous yet lightweight prioritization and roadmap process to ensure clarity on what ideas are in flight, should be worked on, or can be pursued.
• Establish clear success criteria, measurement frameworks, and monitoring standards for every deployed model, including technical metrics (drift, accuracy, bias) and business outcomes (KPI achievement, adoption).
• Champion documentation-as-a-habit, embedding disciplined documentation practices across the team rather than treating documentation as an afterthought.
• Mentor and elevate junior data scientists by raising the bar on engineering standards, communication habits, and professional maturity through framework-building and示范 leadership.
• Collaborate deeply with Analytics Engineering to prototype Gold Layer data assets for new models, ensuring no model reaches production without access to high-quality, governed data.
• Manage competing priorities with clarity and transparency, ensuring the team never works quietly on low-value tasks and consistently surfaces tradeoffs early to align on highest-impact work.
• Build and enforce engineering discipline across the data science practice, transforming it from isolated model development into a production-grade engineering function that influences decisions across Claims, Underwriting, Risk Management, and Distribution.
• Maintain intellectual honesty in model evaluation, refusing to skip steps, paper over data gaps, or declare success before business users are actively using the output.
• Work within a modern data stack including AWS, Databricks, dbt, GitHub, Hex, and Arize, while also developing in-house Python software when it creates a competitive advantage.
• Operate within a centralized Data & AI department (IDEAS) that unites specialists across data architecture, engineering, analytics, governance, and advanced modeling to drive impact across the entire insurance ecosystem.
• Embrace a culture of curiosity, craftsmanship, growth, mentorship, transparency, and ownership, with a focus on building durable systems through disciplined experimentation and continuous learning.

🎯 Requirements

• 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, including Python modules, shared pipelines, and consistent documentation patterns
• 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 to work effectively across Data Engineering, Analytics Engineering, MLOps, IT, and business partners to design feasible, integrated, and lasting solutions
• Experience in or strong appetite for structured cross-functional work, including tech lead forums, lightweight CBAs, roadmap estimation, and prioritization rigor
• Strong mentorship instincts with a track record of raising the technical bar of colleagues by making the right way the easy way through frameworks and systems

🏖️ Benefits

• Base salary range of $155,000 to $185,000 based on full-time schedule, with compensation adjusted for skills, experience, location, market data, and internal equity
• Opportunities for professional and personal development through on-the-job learning and structured growth experiences
• Clarity and kindness in communication, with transparent expectations around success
• Supportive culture that shows up consistently in good times and bad, fostering psychological safety and mutual care
• Community-oriented environment where individuals are lifted up, wins are celebrated, and challenges are supported collectively

Skills & Technologies

Python

AWS

GitHub

Remote

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Pure Group Holdings Inc.

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About Pure Group Holdings Inc.

Pure Group Holdings operates PURE Insurance, a policyholder-owned insurer for high-net-worth individuals and families in the United States. The company offers customizable coverage for homes, automobiles, jewelry, art, watercraft, and personal liability through the reciprocal risk retention group model. Founded in 2006 and headquartered in White Plains, New York, PURE emphasizes risk management, loss prevention, and member service. It underwrites policies via its subsidiaries PURE Risk Management and PURE Insurance Corporation, and it is owned by its members rather than outside shareholders, aligning incentives to reduce losses and deliver competitive pricing.

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