Data Science Specialist

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.

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

We are looking for a passionate and dedicated Data Scientist with solid technical skills, good communication, and analytical experience. This person will be responsible for estimating and monitoring various consumer auto originations credit risk metrics and their impact to pricing of consumer products. They will also build tools for analyzing price sensitivities and optimizing pricing strategies. The ideal candidate is familiar with data science techniques and machine learning algorithms and can apply them in a dynamic business environment to support decisions with direct impact to the bottom line.

Knowledge of predictive analytics, SQL and big data management, Python (or R) programming are needed as the foundation for this role.

• Heavy emphasis on advanced coding and ability to create predictive and statistical models from the ground up.
• Incorporates the use of algorithms into analytics and modeling.
• Has knowledge of data and business acumen.
• Utilizes machine learning and experimental design techniques.
• Builds credit risk and pricing predictive and prescriptive analytical tools in support of data driven business decisions.
• Applies optimization algorithms to identify opportunities for achieving specific business objectives, such as minimizing risks and maximizing profitability.
• Streamlines data usage and interfaces information dashboards to create consistency and efficiencies across business processes.
• Learns how to apply best practices and to filter data into meaningful information.

The Skills You Bring

• Minimum 1 year of work experience in analytics is required.
• Bachelor's degree or higher is needed.
• Must be technically proficient in Snowflake SQL, Python, and visualization tools (e.g., Power BI).
• Some experience with credit risk analytics and pricing optimization are preferred.
• Knowledge of practical application of supervised and non-supervised machine learning algorithms is a plus (e.g., logistic regression, linear regression, decision trees, survival analysis, ensemble learning, cluster analysis, linear and non-linear programming).
• Ability to organize and explore large data sets to identify trends/insights as well as translate results into business recommendations.
• Ability to manage multiple projects and assignments, prioritize, and meet deadlines.
• Good communication (written and oral) and interpersonal skills.
• Ability to work independently and to collaborate with team members and business partners on assignments.

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…