Principal Data Scientist - ML & AI model development
Role details
Job location
Tech stack
Job description
- 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 science projects such as customer segmentation and strategy optimization to advance servicing analytics and consumer asset management.
- Facilitate data projects with 3rd-party vendors under regulatory and compliance rules.
- Actively working with Model Risk Management to ensure the high-standards of model development, validation, performance monitoring, and regulatory review & auditing
Requirements
Do you have experience in Programming languages?, Do you have a Bachelor's degree?, 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.
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., 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., * Bachelor's Degree in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics)
- Minimum 5 years of analytics or data science / quantitative modeling work experience, with hands-on experience working with large account-level datasets using SQL and Python programming packages, * Experience in loan-level predictive data mining for consumer finance industry
- Experience with machine learning techniques (e.g., gradient boosting, regression, decision trees, cluster analysis)
- Experience with GitHub and repositories
- Master's degree or PhD in a quantitative field
- Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models
- Strong knowledge in programming languages of Python, Snowflake SQL
- Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders
- Highly self-motivated, with the ability to work effectively in fast paced environment
Benefits & conditions
3.63.6 out of 5 stars Lewisville, TX Hybrid work $110,000 - $180,000 a year - Full-time, Pulled from the full job description
- Childcare
- Tuition reimbursement
- Paid parental leave
- Employee stock purchase plan
- Parental leave
- Health insurance
- 401(k) matching, 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.