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Principal Data Scientist
4 months ago
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 Principal Data Scientist with hands-on predictive modeling experiences and in-depth knowledge of consumer lending products. This person will develop predictive models using machine learning techniques to create analytics tools (e.g. consumer risk scores, recoveries) to surface insights and drive business strategy related to risk identification for Consumer Auto portfolio.
This position will focus on developing predictive models and work with business strategy teams to optimize, coach and develop analytics talent at Ally. 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
Apply advanced statistical or machine learning techniques to develop and execute analytics solutions for account management purposes. Work closely with business partners on opportunity analysis, problem solving and solution delivery for a variety of business problems. Comply with Ally's internal Model Risk Management policies and procedures, and work with the Model Governance and Model Validation teams on model validation, issue remediation, ongoing performance monitoring, and recurring model reviews. Communicate project status, solutions, results and insights to business stakeholders and leadership.The Skills You Bring
5+ years of experience in statistical modeling and machine learning model development. Strong knowledge of statistical and machine learning programming tools such as Python and R. Strong knowledge of data preparation programs such as SQL or Python. Hands-on experience with linear and logistic regression, time series analysis, decision trees, survival analysis, ensemble trees (gradient boosting, random forest) and other quantitative techniques. Degree in quantitative field, such as Statistics, Math, Economics, Engineering or similar field of study (Master's or PhD preferred). Ability to analyze and synthesize complex data into clear action-oriented recommendations for the business. Comfort level with ambiguity and ability to manage multiple projects at the same time. Ability to communicate analytical insights clearly and concisely to individuals from diverse backgrounds. Experience working in financial services industry, especially in collections, loss prevention, and recovery areas, is a plus.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.