Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
About the role
- Lead Data Scientist at American Family Insurance developing innovative AI solutions for customer-driven projects. Collaborating with teams to enhance operational efficiency and deploying models into production environments.
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.
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 manor 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.
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
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Location requirements
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