Data Scientist Lead

Progressive•Mayfield, OH

3d•Remote

About The Position

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress. As a lead data scientis t on the CRM Acquisition Experience organization, you'll work on Real Time Decisioning (RTD) AI/ML projects that drive personalization in the Quote flow. In this role, you'll design, build, and deploy traditional AI models that create high-quality experiences for our prospective customers through coverage recommendations, additional offers, and more. You'll also be a driving force in our emerging Generative and Agentic AI strategic efforts, including virtual assistants, search experiences, and other related initiatives. This is a remote position for U.S.- based work only, requiring occasional travel for meetings and/or training. Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment. Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role. For ideas about how you might be able to protect yourself from job scams, visit our scam-awareness page at https://www.progressive.com/careers/how-we-hire/faq/job-scams/ #LI-Remote

Requirements

A minimum of 6 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data.
Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 3 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.

Nice To Haves

Proven track record of successfully creating, deploying, and evaluating statistical and machine learning models in a high-volume and/or real-time environment
Strong proficiency in Python and SQL (Snowflake, SQL Server) to collect and manipulate data
Familiarity with Large Language Models (LLMs), such as OpenAI ChatGPT, to enhance products, and a proficiency in the Linux operating system, shell scripting, and command line usage
Experience with AWS Machine Learning and support services (S3, EC2, Lambda, SageMaker, Cloudwatch) and MLOps frameworks (GitHub Actions, Jenkins)
Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical collaborators

Benefits

401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off including volunteer time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations