Data Scientist Senior or Lead

Progressive; United States; Remote; USD 90,000 - 165,000; Full time

Benefits offered by this job

401(k) match

Medical/Dental/Vision

Paid time off

Job summary

Progressive is seeking a senior or lead data scientist to advance our Real-time Bidding (RTB) API and ad personalization strategies. You will model Lifetime Value, profitability, and retention to drive competitive advantage, and improve yield forecasting across contexts.

This remote US-based position requires strong ML/Python expertise, AWS experience, and the ability to travel for meetings/trainings. Compensation includes performance incentives and comprehensive benefits.

Qualifications

• 5+ years in statistical modeling / ML or 2+ years with advanced degree.
• Experience with large-scale data processing (Hadoop, SQL).
• Proven ability to develop and deploy ML models.

Responsibilities

• Research, develop, and deploy improvements to RTB API.
• Lead Personalization, LTV modeling, and Yield forecasting efforts.
• Collaborate across teams to optimize ad spend and performance.

Skills

Statistical modeling

Machine learning

Education

Bachelor's degree in Econometrics/Statistics/CS or related

Master's degree or higher in quantitative field

Tools

Python

SQL

AWS

Docker

Git

Job description

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun.

Responsibilities

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.

Location & Remote

This is a remote position for U.S.- based work only, requiring occasional travel for meetings and/or training.

Minimum qualifications

• 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.
• 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.
• Or, master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).

Preferred skills

• Proven experience in developing and deploying machine learning models.
• Proficient in Python for data analysis, modeling, api development and automation.
• 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.
• Experience with version control systems, particularly Git, for collaborative development
• Experience with Github workflows and automations

Compensation

$89,600-$164,800/year depending on position level

Gainshare annual cash incentive program up to 30%-40% of your eligible earnings based on company performance.

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.
• Energage recognizes Progressive as a 2026 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.

Equal Opportunity Employer

Equal Opportunity Employer

Sponsorship for work authorization is available for this position only for candidates who hold an existing H-1B Visa.

Scam Awareness

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/