2911 Lake Vista Drive, TX
19 days ago
Senior Data Scientist .
General information Career area Consumer Analytics Work Location(s) 2911 Lake Vista Drive, TX Remote? No Ref # 15060 Posted Date Monday, April 24, 2023 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? The 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.

We're looking for a passionate Senior Data Scientist with great technical skills for our Auto Consumer Asset Management group. This person will report to the Data Science Manager, 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 analytics for Ally consumer asset management.  The ideal candidate should be passionate about data science and consumer risk analytics for banking & financial services. Strong SQL and Python programming skill is a must. SAS and R are nice to have. Do you have a focus on measurable business outcomes, strong analytical skills, and a desire to make an impact? If you are 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, keep reading.

The Work Itself

This role is quantitative in nature and requires the individual highly capable of interrogating and analyzing massive account-level data using SQL and Python. Skills for other programming, data mining tools such as SAS, R are nice to have. He or she will join the data science team to advance predictive analytics for consumer asset management of Ally auto finance business, with the responsibility of completing all data phases of data science projects, including account-level data preparation, variable cleaning and screening, pre-processing and exploratory analysis, data validation and documentation. This senior data scientist must be an innovative and strategic thinker, willing to challenge status quo, can learn quickly, is self-motivated and detail oriented.  

Key Responsibilities include:

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 science projects such as customer segmentation, strategy optimization to advance servicing analytics and consumer asset management. Facilitate data projects with 3rd-party vendors under regulatory and compliance rules Uses advanced coding to create predictive statistical and analytical models from the ground up. Incorporates use of algorithms into analytics & modeling. Ability to manipulate algorithms and advanced coding. Experience with machine learning techniques and experimental design. Strong statistical background and ability to create rigorous statistical model. The Skills You Bring 3+ Years of analytics experience, experience in loan-level predictive data mining for consumer finance industry preferred. Bachelor’s Degree in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics). Master's Degree in a Quantitavie Field Preferred. Experience with database programming tools (Python, SQL) required.  Experience with machine learning techniques (e.g., regression, decision trees, cluster analysis) using Python or other statistical programming packages such as R, SAS, Matlab. Ability to manage multiple projects and assignments. Able to prioritize and meet deadlines. Ability to work independently with minimal supervisor. Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders 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: 11 paid holidays, 20 paid time off days, and 8 hours of volunteer time off, yearly (paid time off is prorated based on start date) 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 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.
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