Lead Data Scientist

Madison, OH - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

This position works with the business to embrace new technologies and GenAI capabilities that make a meaningful impact for 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.

Primary Accountabilities

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 theyre 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.

Specialized Knowledge & Skills 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.