Lead Data Scientist

American Family Insurance

126d • $128,000 - $216,000

About The Position

This position works with the business to embrace new technologies and GenAI capabilities that make a meaningful impact to our customers, and how we connect with them. Projects can span from large, multi-team initiatives to individual discovery work. As part of the enterprise data science team, we work with and support all areas of the business (Claims, Product, Risk Management, Contact Centers, etc.), developing holistic solutions that leverage new concepts (e.g Agentic AI) into Production systems, combining the best of third-party vendors with in-house capabilities, and contributing to the community of data science practitioners through papers, conferences, talks, and academic partnerships like the Data Science Institute with UW. The role requires a focus on innovation and market awareness, ensuring our work is informed by current trends and offerings in the industry. This role is not approved for sponsorship now or in the future.

Requirements

• Demonstrated experience providing and/or crafting customer-driven solutions using ML models.
• Ability to work as part of a team and to communicate effectively.
• Understanding of software development best practices including source control, coding standards and testing frameworks.
• Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.
• Demonstrated experience communicating complex findings in a clear and concise manner to business stakeholders.
• Experience shaping the strategy for projects to deliver maximum business value.
• Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.
• Demonstrated experience working with large, complex datasets using big data technologies and script.
• Demonstrated knowledge and understanding of managing data to scale using data summarization, query, and analysis software and tools.

Responsibilities

• Leads data science contributions on multiple projects; from large corporate initiatives, discovery/research projects, engagement with third-party vendors and consulting companies, and partnerships with academia.
• Engages with key parts of the business to understand the problems they’re trying to solve and where there are opportunities to leverage the latest data science advancements.
• Defines the scope of data science work on a project, coordinates what data scientists are working on, anticipates and escalates upcoming considerations, and works with engineering/design/product/etc. to deliver impactful business solutions.
• Oversees the deployment and integration of AI models into production environments, ensuring alignment with business objectives and operational requirements.
• Proactively researches, evaluates, applies and shares expertise of emerging AI technologies and open-source tools; with a strong emphasis on Generative AI, including (auto)prompt engineering, Agentic AI frameworks/MCP, and maturing our infrastructure through tools such as LangFuse/LiteLLM.

Benefits

• Comprehensive medical, dental, vision and wellbeing benefits.
• Competitive 401(k) contribution.
• Pension plan.
• Annual incentive.
• 9 paid holidays.
• Paid time off program (23 days accrued annually for full-time employees).
• Student loan repayment program.
• Paid-family leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree