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# Data Scientist Senior or Lead

- **Company:** The Progressive Corporation
- **Location:** Mansfield, OH, United States (Remote available)
- **Experience:** Expert
- **Salary:** $89,600 - $164,800
- **Contract:** Permanent contract
- **Skills:** Big Data, Command-Line Interface, Linux, Apache Hadoop, Python (Programming Language), Azure Machine Learning, Signal Processing, SQL Databases, Unstructured Data, Data Processing, Git, Information Technology, Database Tools and Utilities
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/lu7peisns2

## About the Role

* A minimum of five 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 two 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

 * Advanced background in physical science: physics, applied mathematics, engineering, or a related technical field.
 * Strong foundation in data science and machine learning, with ability to turn complex data into robust, practical product features.
 * Experience with time-series data, signal processing, sensor data, or statistical modeling, developing and evaluating algorithms using real-world data.
 * Strong Python skills and familiarity with GIT, GNU/Linux, and CLI-based development environments, with experience with scalable data-processing workflows or large datasets.
 * Strong problem-solving and communication skills, with interest in applying technical and analytical methods to driving risk and telematics.