Data Scientist Senior

Progressive; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k) match

Medical, dental & vision coverage

Wellness programs

Education/Tuition assistance

Volunteer time off

Vacation days

Job summary

Progressive is seeking a senior data scientist to lead AI/ML initiatives across marketing data science and engineering. You will design, develop, and deploy scalable AI/ML solutions supporting strategy, engagement, and decision-making, with a focus on RAG and generative AI.

Remote within the U.S., with occasional travel for meetings and training. The role requires 5+ years in quantitative modeling or ML, strong Python/SQL skills, and experience with cloud and deployment tools.

Qualifications

• 5+ years in statistical/quantitative modeling or machine learning with large data.
• A quantitative degree with 2+ years in ML/data tools or a higher degree with focus in related fields.
• Masters or PhD preferred for advanced modeling and leadership.

Responsibilities

• Lead design, development, and deployment of AI/ML solutions for marketing and business decisions.
• Own end-to-end model lifecycle including experimentation, deployment, and monitoring.
• Provide technical guidance and mentorship to junior data scientists.

Skills

Python

SQL

R

RAG

Generative AI

Docker

AWS

Education

Bachelor's degree in a quantitative field

Master's degree or higher in a quantitative field

Tools

Hadoop

SQL

Docker

Job description

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. As a senior data scientist on the Marketing Data Science and Engineering team, you’ll lead the design, development, and deployment of advanced AI and machine learning solutions that support marketing strategy, customer engagement, and business decision-making. In this role, you’ll focus on retrieval-augmented generation (RAG), generative AI, and agentic AI applications, with an emphasis on building scalable, production-ready solutions. You’ll work across the full model lifecycle, from experimentation and model development to deployment, application integration, and monitoring, while partnering closely with data scientists, data engineers, and marketing business partners. You’ll mentor and provide technical guidance to junior data scientists, strengthening team capabilities and promoting best practices across the organization. This is a remote position for U.S.-based work only, requiring occasional travel for meetings and/or training.

Minimum 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. Mathematics).

Preferred skills

• Full-stack data scientist with strong experience across model development, deployment, operationalization, monitoring, and maintenance of machine learning and AI models in production environments.
• Strong proficiency in Python and SQL, with hands‑on experience using Docker and other containerization and deployment tools.
• Hands‑on experience building solutions using retrieval-augmented generation (RAG), generative AI, and agentic AI frameworks.
• Experience with AWS‑based data science and application deployment, lightweight application development using Streamlit or similar frameworks, and tools such as dbt and Terraform.
• Ability to provide technical leadership, mentor junior data scientists, and collaborate effectively across data science, engineering, marketing, and other cross‑functional teams.

Compensation

• $89,600 - $119.500/year
• Gainshare annual cash incentive payment up to 30% of your eligible earnings based on company performance.

Benefits

• 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.
• Energage recognizes Progressive as a 2026 Top Workplace for: Innovation, Purposes & Values, Work Life Flexibility, Compensation & Benefits, and Leadership.

Equal Opportunity Employer

Sponsorship for work authorization is available for this position only for candidates who hold an existing H-1B Visa.