> Markdown version of [/jobs/ext/3368297-sr-principal-data-scientist](https://www.wearedevelopers.com/jobs/ext/3368297-sr-principal-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Principal Data Scientist - **Company:** The Progressive Corporation - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $144,900.0 - $207,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Software, Information Engineering, Apache Hadoop, Python (Programming Language), Azure Machine Learning, SQL Databases, Unstructured Data, Cloud Platform System, Large Language Models, IT Architecture, Deep Learning, Information Technology, Database Tools and Utilities - **Published:** September 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=45ac14969068c8e0 ## About the Role * A minimum of 8 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. * {OR} Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and 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} 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 3 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. Preferred Skills * Demonstrated experience leading enterprise-scale AI or data science initiatives from concept through deployment, adoption, and measurable business impact. * Deep expertise in modern AI systems, including LLMs, agentic architectures and deployment patterns, retrieval and context design, and advanced machine learning. * Experience designing rigorous evaluation frameworks for LLM and agentic systems, including testing, experimentation, monitoring, reliability, safety, and performance measurement. * Strong technical fluency in production AI architecture, software and data engineering practices, cloud environments, and model lifecycle management. * Ability to translate emerging technical capabilities into practical business applications, influence senior cross-functional partners, and recognize when a simpler non-AI solution will create greater value. ## Description As a senior principal data scientist on the Enterprise AI team, you'll report to the Chief AI Officer and provide enterprise-level technical leadership and analytical rigor. In this role, you'll support enterprise-wide initiatives across multiple business lines. Helping apply modern AI capabilities to important business opportunities, translating them into measurable outcomes. You'll work across business and technology teams to shape, govern, evaluate, and scale responsible AI solutions to support Progressive's business strategy. ## Related Videos - [The pitfalls of Deep Learning - When Neural Networks are not the solution](https://www.wearedevelopers.com/videos/14-the-pitfalls-of-deep-learning-when-neural-networks-are-not-the-solution) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)