Progressive Insurance · 4 hours ago
Data Scientist Senior
United States
Full-time
Remote
Mid, Senior Level
$90K/yr - $120K/yr
5+ years expProgressive Insurance is dedicated to helping employees move forward in their careers. As a senior data scientist on the Marketing Strategy, Research and Analytics team, you will design and build machine learning models to analyze advertising effectiveness and lead the development of an AI-driven Knowledge Management System.
Auto InsuranceAutomotiveCommercial InsuranceHealth InsuranceInformation TechnologyInsuranceLogistics
No H1B
Responsibilities
Design and build machine learning models to analyze advertising creative elements and identify drivers of creative effectiveness and performance
Lead the development of an AI-driven Knowledge Management System that enables semantic search, intelligent retrieval, and insight generation across marketing datasets
Integrate and harmonize large, fragmented internal and vendor data sources into a governed, scalable analytics platform
Apply advanced statistical and machine learning techniques to solve complex marketing and customer insight problems
Partner closely with Marketing, Analytics, and Data Engineering teams to define requirements, prioritize use cases, and deliver impactful solutions
Productionize models and analytics workflows using cloud-based infrastructure and modern data tooling
Communicate methodologies, findings, and recommendations clearly to technical and non-technical stakeholders
Qualification
Required
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
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
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics)
Preferred
Proficiency in Python and SQL for data manipulation, analysis, and model development
Advanced knowledge of machine learning techniques, including supervised, unsupervised, and reinforcement learning using frameworks such as TensorFlow, PyTorch, and Scikit-learn
Experience working in cloud environments, including AWS and Snowflake, for data storage, compute, and deployment
Familiarity with ETL processes and large-scale data pipelines
Strong ability to translate technical outputs into business insights and influence decision-making
Benefits
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
Onsite gym & healthcare at large locations
Company
Progressive Insurance
Progressive Insurance is a property and casualty insurance provider.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Andrew Quigg
Chief Strategy Officer
Kaitlin Marvin
Senior Manager of Data and Analysis - Data Strategy
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