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As a senior or lead data scientist on the personal lines media team, you’ll research, develop and implement improvements and advances to our Real-time Bidding (RTB) API, which returns tens of millions of bids a month as we compete for online affiliate advertising space with first-price auction dynamics. You’ll work on Advertisement Personalization: a new area of research to explore whether we can optimize the funnel by putting the right ad copy in front of a lead. You’ll be responsible for Lifetime-Value (LTV) Modeling: predicting and refining LTV and its components (Premium, Profitability, Retention) to drive competitive advantage through segmentation. In addition, you’ll be responsible for Yield Modeling: predicting the likelihood of a sale across various contexts as we seek to improve segmentation and calibration to drive competitive advantage and achieve cost-per-sale targets as well as budget and sales forecasting.
This is a remote position for U.S.- based work only, requiring occasional travel for meetings and/or training.
Minimum qualifications
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A minimum of 5 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.
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Or, bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 2 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.
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Or, master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
Preferred skills
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Proven experience in developing and deploying machine learning models.
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Proficient in Python for data analysis, modeling, api development and automation.
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Experience with AWS services, particularly Lambda, EC2, and S3, for deploying scalable solutions as well as experience with Docker/Podman for containerization and deployment of model-serving applications.
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Experience with version control systems, particularly Git, for collaborative development
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Experience with Github workflows and automations
Compensation
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$89,600-$164,800/year depending on position level
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Gainshare annual cash incentive program up to 30%-40% of your eligible earnings based on company performance.
Benefits
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401(k) with dollar-for-dollar company match up to 6%.
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Medical, dental & vision, including free preventative care.
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Wellness & mental health programs.
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Health care flexible spending accounts, health savings accounts, & life insurance.
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Paid time off including volunteer time off.
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Paid & unpaid sick leave where applicable, as well as short & long-term disability.
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Parental & family leave; military leave & pay.
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Diverse, inclusive & welcoming culture with Employee Resource Groups.
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Career development & tuition assistance.
Energage recognizes Progressive as a 2026 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.
Equal Opportunity Employer
Sponsorship for work authorization is available for this position only for candidates who hold an existing H-1B Visa.
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