Data Scientist Gen AI

Job Description

We’re looking for a highly skilled Senior Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will be responsible for supporting initiatives across machine learning and AI model development, model governance, and emerging generative AI innovations. This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high‑quality ML/AI solutions and tools, and ensure responsible, effective deployment of AI solutions.

Successful candidates should have hands‑on experience with data and modeling, while demonstrating strong communication skills and the ability to influence a complex organization.

• Develop, implement, and test AI solutions for the Consumer Auto organization, including supporting vendor‑developed agentic AI models and their governance.
• Leverage novel approaches to continuously improve model performance and business outcomes.
• Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment.
• Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems.
• Identify and champion new business opportunities by proposing and delivering innovative AI‑driven solutions that create tangible value and competitive advantage.

• Bachelor’s degree in a quantitative/technical discipline (Mathematics, Computer Science, Data Science/Analytics, Economics).
• Minimum 3 years of data science/quantitative modeling experience, with hands‑on experience working with large datasets (including text); practical experience with deploying LLMs highly preferred.
• Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models.
• Strong knowledge of programming languages (Python, SQL, or R).
• Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders.
• Highly self‑motivated and adaptable, with a proven ability to deliver high‑quality results in a fast‑paced, rapidly evolving environment.

• Proven experience designing and implementing predictive models, generative AI, and agentic systems, with a track record of developing novel AI approaches to boost model performance.
• Strong foundational knowledge of responsible AI practices, including the integration of data governance, ethical AI considerations, and security protocols throughout the model‑development life cycles.
• Experience with Git Hub and repositories.
• Master’s degree or higher in a quantitative field.

$120,000 to $135,000 per year.

Charlotte, NC.