Data Scientist Senior

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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

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

#LI-Remote

• 5+ years experience in Statistical/Quantitative Modeling or Machine Learning with tools like R, Python, and databases (Hadoop, SQL), or
• Bachelor's degree in a quantitative field plus 2+ years relevant experience, or
• Master's degree or higher in Econometrics, Statistics, Operations Research, Computer Science, or related field.