Senior Specialist - Data Science

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 love 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?

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love 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?

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.

We are seeking a Senior Data Scientist to support Consumer Auto Servicing through data-driven insights, experimentation, and scalable analytical solutions. This individual contributor will partner closely with stakeholders to identify meaningful opportunities, develop models and analyses, and help translate findings into business action. The role is well suited for someone who is comfortable working through ambiguity, can independently drive work forward, and collaborates effectively with cross-functional partners to deliver measurable impact.

• Partner with strategy, operations, and business leaders to translate business questions into data-driven analyses and solutions.
• Communicate findings and recommendations clearly to technical and non-technical audiences to support decision‑making.
• Design, execute, and interpret experiments and analyses to evaluate business strategies and quantify impact.
• Build, validate, and refine statistical and machine learning models for business applications.
• Collaborate with data, engineering, and implementation teams to support deployment of models and analytical solutions into production.
• Help develop automated monitoring, documentation, and controls aligned with Model Risk Management standards.
• Perform model validation activities such as back testing, stability analysis, fairness assessment, and drift monitoring.
• Build and maintain reliable datasets, features, and analytical workflows from enterprise data sources to support modeling and business analysis.
• Contribute to the development of data assets such as standardized metrics, dashboards, feature sets, and monitoring for model and data quality.
• Manage day-to-day project work, priorities, and deliverables across multiple initiatives with appropriate guidance and stakeholder alignment.
• Build strong working relationships with cross‑functional partners and develop a strong understanding of business goals and operational processes.
• Contribute to best practices in…