Principal Data Scientist – GenAI Development & Solutioning

The Opportunity

As a leader in digital financial services, our customer and employee experiences run on data. We depend on the Ally analytics community to fuel these journeys and to help nearly 10,000 leaders and employees make countless data-driven decisions every day. Our analytics community has hundreds of analytics professionals across Ally in communities focused on business analytics, data science, R, Python, Power BI and more and continues to grow every day.

Key Responsibilities

• Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its 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

Skills

• Minimum Qualifications: Bachelor’s Degree in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics)
• Minimum 5 years of data science / quantitative modeling work experience, with hands-on experience working with large datasets (including text); practical experience with deploying LLMs highly preferred
• Preferred Qualifications: 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 lifecycles
• Experiences of partnering with GenAI vendors and external technology team to deliver GenAI solutions
• Master's degree or higher in a quantitative field
• Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models
• Solid knowledge in programming languages of Python, SQL
• Strong 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

Work Schedule

Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.