Note: The job is a remote job and is open to candidates in USA. Progressive Insurance is dedicated to helping employees move forward and live fully in their careers. The Lead Data Scientist will analyze customer data, develop and evaluate statistical and machine learning models, and translate insights into actionable recommendations. The role also supports the deployment and monitoring of data-driven solutions in customer-facing processes and may involve leading or mentoring junior data scientists.
Responsibilities
- Analyze and develop algorithms for technology solutions that solve business problems and improve operational efficiency
- Leverage structured and unstructured customer data to build, test, and evaluate statistical and machine learning models
- Partner with business and technical collaborators to translate customer insights into actionable recommendations and support the deployment and monitoring of data-driven solutions within customer-facing processes
- Build, deploy, and monitor statistical and machine learning models in Python, including model validation, evaluation, and performance tracking
- Analyze structured and unstructured data to develop customer insights, predictive models, and actionable business recommendations
- Design and maintain production data pipelines and predictive data flows that support analytics and machine learning solutions
- Use cloud-based analytics and machine learning platforms like AWS, and partner with senior business collaborators and cross-functional teams to deliver solutions
- Lead or mentor junior data scientists and use emerging analytics technologies such as generative AI, large language models (LLMs), and graph databases, with Neo4j experience
Skills
- A minimum of 6 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 3 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 1 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
- 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
- Demonstrated experience building, deploying, and monitoring statistical and machine learning models in Python, including model validation, evaluation, and performance tracking
- Hands-on experience analyzing structured and unstructured data to develop customer insights, predictive models, and actionable business recommendations
- Experience designing and maintaining production data pipelines and predictive data flows that support analytics and machine learning solutions
- Experience using cloud-based analytics and machine learning platforms like AWS, and partnering with senior business collaborators and cross-functional teams to deliver solutions
- Experience leading or mentoring junior data scientists and familiarity with emerging analytics technologies such as generative AI, large language models (LLMs), and graph databases, with Neo4j experience
Benefits
- Gainshare annual cash incentive payment up to 40% of your eligible earnings based on company performance.
- 401(k) with dollar for dollar company match up to 6%.
- Medical, dental, and vision, including free preventive care.
- Wellness and mental health programs.
- Health care flexible spending accounts, health savings accounts, and life insurance.
- Paid time off, including volunteer time off.
- Paid and unpaid sick leave, as well as short and long term disability.
- Parental and family leave; military leave and pay.
- Diverse, inclusive, and welcoming culture with Employee Resource Groups.
- Career development and tuition assistance.
- Onsite gym and healthcare at large locations.
- This is a remote position for U.S.- based work only.
Company Overview
Company H1B Sponsorship