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Ally Financial Careers

General information

Career area
Consumer Analytics
Work Location(s)
2911 Lake Vista Drive, TX, 500 Woodward Avenue, MI
Remote?
No
Ref #
22389
Posted Date
06-02-26
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

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.

The Work Itself


  • 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 modeling, experimentation, and code quality through documentation, code reviews, and collaboration with peers.
  • Proactively explore new data sources, tools, and methods to improve analysis, modeling performance, and delivery efficiency.

The Skills You Bring


Minimum Qualifications


  • 3+ years of experience in analytics, data science, machine learning, applied statistics, or a related field
  • Bachelor’s degree in a quantitative or technical discipline such as Math, Computer Science, Data Science, Analytics, Applied Statistics, or equivalent practical experience

Preferred Qualifications


  • 4+ years of experience in analytics, data science, machine learning, or applied statistics with a track record of delivering business-impacting work.
  • Bachelor’s or Master’s degree in a quantitative or technical discipline such as Math, Computer Science, Data Science, Analytics, Applied Statistics, or equivalent practical experience.
  • Experience in financial services, preferably in auto lending, credit risk, pricing, fraud, servicing, or portfolio analytics.
  • Working knowledge of machine learning algorithms, cloud development environments such as AWS, and common data science, analytics, and BI methodologies.
  • Strong SQL and Python skills; experience with R or SAS is a plus.
  • Experience with exploratory data analysis, statistical model development, validation/testing, and model performance monitoring.
  • Familiarity with Git or other source control tools and collaborative development practices such as pull requests and code reviews.
  • Solid foundation in statistics and experiment design.
  • Ability to design and interpret controlled analyses or experiments and connect findings to business recommendations.
  • Strong written and verbal communication skills, with the ability to tailor content to both technical and non-technical audiences.
  • Experience working with cross-functional or matrix partners.
  • Ability to work independently on well-defined problems while collaborating effectively on more complex initiatives.
  • Comfort working with ambiguous business questions and imperfect data, with the ability to develop practical solutions.
  • Strong analytical thinking, problem-solving ability, and attention to detail.

#LI-Hybrid
#DFS

How We'll Have Your Back

Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:

  • Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).
  • Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.
  • Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
  • Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.
  • Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
  • Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity.
  • To view more detailed information about Ally’s Total Rewards, please visit this link: https://www.ally.com/content/dam/pdf/corporate/ally-total-rewards-snapshot.pdf
 

Who We Are:

 

Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.

 

Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.

 

We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at hrpolicy@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.

Base Pay Range: $85000 - $150000 USD
An individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer. 
Incentive Compensation: This position is eligible to participate in our annual incentive plan.
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