Principal Data Scientist – ML & AI model development

About the role

Ally Financial is seeking a Principal Data Scientist to join the Auto Consumer Strategy & Analytics group. This role is quantitative in nature and requires the individual to apply rigorous quantitative techniques to build and/or test predictive ML & GenAI models and risk scores.

Responsibilities

• Prepare, preprocess, and validate consumer data for Ally Auto Finance business
• Utilize data science techniques to facilitate servicing analytics & asset management strategy
• Support through-the-cycle predictive/quantitative modeling & advanced analytics for Ally Consumer Servicing Organization
• 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
• Facilitate data projects with 3rd-party vendors under regulatory and compliance rules
• Actively work with Model Risk Management to ensure the high-standards of model development, validation, performance monitoring, and regulatory review & auditing

Qualifications

• 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

Skills

• Minimal Qualifications: 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
• Preferred Qualifications: 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

Pay

$110,000 - $180,000 USD

Schedule

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.