Manager, Data Science

October 22

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Progressive Leasing

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Lease-To-Own • Fintech • Retail • Purchase Options

1001 - 5000

Description

• Manage a team of Data Scientists and Data Analysts to deliver impactful, innovative solutions with measurable financial and operational outcomes for the company. • Design, implement, and optimize machine learning models, advanced statistical analyses, and data-driven algorithms to solve complex business challenges. • Drive process improvements and organizational change across all phases of the product lifecycle and data science initiatives. • Build, maintain, and enhance machine learning pipelines, decision systems, and predictive models that are critical to Progressive’s competitive advantage. • Explore and integrate new data sources, both internal and external, to optimize model performance and drive strategic initiatives. • Design and execute experiments, A/B testing, and advanced predictive models to validate hypotheses, test new algorithms, and enhance our technological edge. • Provide strategic recommendations based on rigorous data analysis, fostering data-driven decision-making across the business. • Collaborate with a dynamic group of data science professionals, cultivating a culture of creativity, innovation, and excellence.

Requirements

• Master’s degree or higher in a quantitative or technical field or equivalent experience. • 2+ years of experience leading a team of Data Scientists or similarly quantitative professionals. • 5+ years of experience applying advanced analytics, machine learning, and statistical techniques to solve business challenges and deliver business results. • Proven track record of developing and deploying machine learning solutions that deliver real-time predictions in a production environment. • Deep understanding of experimental design, statistical principles, and advanced analytical techniques. • Proficiency in key machine learning, data manipulation, and visualization libraries in Python and/or R. • Strong knowledge of modern software development practices, including Agile, Git, DevOps, and scalable data architecture.

Benefits

• Competitive Compensation; Eligible for STI + LTI • Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave • Company Matched 401k • Paid Time Off + Paid Holidays + Paid Volunteer Time • Diversity Alliance Resource Groups • Employee Stock Purchase Program • Tuition Reimbursement • Charitable Gift Matching • Job Required Equipment & Services Will Be Provided