General information
Ref # 22389
Remote? No
Ally and Your Career
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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?
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
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Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. But Ally's total compensation - or total rewards - extends beyond your paycheck and is designed to support and enrich your personal and professional life, including:
Time Away: competitive holiday and flexible paid-time-off, including time off for volunteering and voting.
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 and 529 educational assistance programs, tuition reimbursement, and other financial well-being programs.
Supporting your Health & Well-being: flexible health and insurance options including dental and vision, pre-tax Health Savings Account with employer contributions 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 support as well as parental and caregiver leave, back-up child and adult/elder day care program and childcare discounts.
Work-Life Integration: other benefits including LifeMatters® Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
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.
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered, if not currently employed by Ally.
We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at work@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:
An individual's position in the range is determined by 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.
Emerging: 85000
Experienced: 117500
Expert: 150000
Incentive Compensation: This position is eligible to participate in our annual incentive plan
