Senior Specialist - Data Science

General information

Career area Consumer Analytics Work Location(s) 601 S. Tryon Street, NC City Charlotte, NC Remote? No Ref # 22170 Posted Date 04-20-26 Working time Full time

Ally and Your Career

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
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.

The Opportunity

This role sits at the intersection of data science, artificial intelligence, and business decision-making, supporting Compliance, Legal, and key stakeholders. The individual will transform raw data into actionable insights while developing analytical and AI-driven solutions that improve efficiency and enable smarter decisions.

 This position requires a hands-on practitioner who can build models, prototype solutions, and develop end-to-end workflows, along with strong communication skills to translate complex concepts into clear business value. The role also involves operating in ambiguous problem spaces and leveraging machine learning and emerging Generative AI capabilities to deliver scalable, impactful solutions.

The Work Itself

• Partner with Compliance, Legal, and business stakeholders to identify opportunities and deliver data science and AI-driven solutions that improve decision-making, operational efficiency, and automation.
• Apply statistical analysis, machine learning techniques, and emerging Generative AI approaches to solve complex business problems across structured and unstructured data.
• Develop predictive and statistical models from the ground up, leveraging advanced coding, algorithms, and rigorous experimental design.
• Translate business needs into structured analytical approaches through feasibility testing, rapid prototyping, and iterative solution development.
• Build and maintain end-to-end analytical workflows, including data ingestion, transformation, model