Join Forbes' 2024 Best Employer for Diversity
As asenior data scientist on the Enterprise Business Analytics and AI team, you'll be at the forefront of designing and implementing data science models that drive the future of AI across all business areas. Your expertise inGenerative AI technologies and prompt engineering space will be instrumental in driving innovation and solve complex business problems.Additionally, you'll collaborate with a dynamic and highly cooperative team to research, develop, and implement cutting-edge data science strategies. Your innovative ideas will play a crucial role in propelling Progressive forward.
Remote work allowed.
Must-have 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. MathematicsPreferred skills
Proficiency in Streamlit, Python, Vector Database and API developmentExperience with clustering, natural language processing, large language models, or analyzing unstructured text dataKnowledge of version control platforms such as GithubExperience in aligning the technical solutions with the business needsCompensation
$87,200 - $116,300/yearGainshare annual cash incentive payment up to 30% of your eligible earnings based on company performanceBenefits
401(k) with dollar-for-dollar company match up to 6%Medical, dental vision, including free preventative careWellness  mental health programsHealth care flexible spending accounts, health savings accounts, life insurancePaid time off including volunteer time offPaid unpaid sick leave where applicable, as well as short long-term disabilityParental family leave; military leave payDiverse, inclusive welcoming culture with Employee Resource GroupsCareer development tuition assistanceOnsite gym healthcare at large locationsEnergage recognizes Progressive as a 2024 Top Workplace for: Innovation, Purposes Values, Work-Life Flexibility, Compensation Benefits, and Leadership.
Equal Opportunity Employer
Sponsorship for work authorization is available for candidates who already possess an H-1B Visa
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/
#LI-Remote
Join Forbes' 2024 Best Employer for Diversity
As asenior data scientist on the Enterprise Business Analytics and AI team, you'll be at the forefront of designing and implementing data science models that drive the future of AI across all business areas. Your expertise inGenerative AI technologies and prompt engineering space will be instrumental in driving innovation and solve complex business problems.Additionally, you'll collaborate with a dynamic and highly cooperative team to research, develop, and implement cutting-edge data science strategies. Your innovative ideas will play a crucial role in propelling Progressive forward.
Remote work allowed.
Must-have 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. MathematicsPreferred skills
Proficiency in Streamlit, Python, Vector Database and API developmentExperience with clustering, natural language processing, large language models, or analyzing unstructured text dataKnowledge of version control platforms such as GithubExperience in aligning the technical solutions with the business needsCompensation
$87,200 - $116,300/yearGainshare annual cash incentive payment up to 30% of your eligible earnings based on company performanceBenefits
401(k) with dollar-for-dollar company match up to 6%Medical, dental vision, including free preventative careWellness  mental health programsHealth care flexible spending accounts, health savings accounts, life insurancePaid time off including volunteer time offPaid unpaid sick leave where applicable, as well as short long-term disabilityParental family leave; military leave payDiverse, inclusive welcoming culture with Employee Resource GroupsCareer development tuition assistanceOnsite gym healthcare at large locationsEnergage recognizes Progressive as a 2024 Top Workplace for: Innovation, Purposes Values, Work-Life Flexibility, Compensation Benefits, and Leadership.
Equal Opportunity Employer
Sponsorship for work authorization is available for candidates who already possess an H-1B Visa
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/
#LI-Remote