Note: The job is a remote job and is open to candidates in USA. Progressive Insurance is an insurance company dedicated to helping employees move forward and live fully in their careers. The senior or lead data scientist will research, develop, and implement improvements to real-time bidding, advertisement personalization, lifetime-value modeling, and yield modeling for the personal lines media team.
Responsibilities
- 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
Skills
- 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)
- This is a remote position for U.S.- based work only, requiring occasional travel for meetings and/or training
- Sponsorship for work authorization is available for this position only for candidates who hold an existing H-1B Visa
- 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
Benefits
- Gainshare annual cash incentive program up to 30%-40% of your eligible earnings based on company performance.
- 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.
- Remote position for U.S.-based work only.
Company Overview
Company H1B Sponsorship