Principal Data Scientist – ML & AI model development
Listed on 2026-06-12
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
About 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.
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.
As you read this, our Technology and Digital organization is deploying our new Cloud Computing platform to accelerate and expand our digital capability.
We're looking for a passionate Principal Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will report to the Data Science Director, with responsibilities of (1) preparing, preprocessing, and validating consumer data for Ally Auto Finance business, (2) utilizing data science techniques to facilitate servicing analytics & asset management strategy, and (3) supporting through-the-cycle predictive/quantitative modeling & advanced analytics for Ally Consumer Servicing Organization.
The ideal candidate should be passionate about data science and consumer risk analytics for banking & financial services. Strong SQL and Python programming skills are a must. A successful candidate should have strong analytical skills and the desire to make an impact, while also be a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech.
Work Itself
This role is quantitative in nature and requires the individual highly capable of interrogating and analyzing massive account-level data using Snowflake SQL and Python. The candidate will join the data science team to advance predictive analytics and modeling for consumer asset management of Ally auto finance business, with the responsibility of completing all phases of data science projects, including account-level data preparation, variable cleaning and screening, pre-processing and exploratory data analysis, data validation and documentation.
This principal data scientist must be an innovative and strategic thinker, willing to challenge status quo, can learn quickly, and is self-motivated and detail oriented.
- Apply rigorous quantitative techniques to build and/or test predictive ML & GenAI models and risk scores (internally developed or vendor sourced) for usage in account management, consumer risk, collection & servicing functions.
- Heavy emphasis on advanced modeling techniques (Regression, Clustering, Tree-based algorithms, GBM), independent data processing by Snowflake SQL and Python, and ability to create predictive and statistical models from the ground up.
- Independently prepare and analyze large, account-level consumer data from internal and external sources to identify strong risk indicators for Ally auto finance consumer’s delinquency, loss & recovery.
- Support data…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).