Remote Lead Data Scientist — ML, Analytics & Leadership

Progressive Insurance; United States; On-site; USD 115,000 - 165,000; Full time

Benefits offered by this job

401(k) with employer match up to 6%

Medical, dental, and vision coverage

Wellness and mental health programs

Paid time off and leave policies

Tuition assistance and career growth

Job summary

Progressive Insurance is seeking a data science professional for a remote role based in the United States. The candidate will work on statistical and ML modeling, developing data pipelines, and delivering actionable insights using Python, R, and cloud platforms such as AWS.

The role emphasizes leadership in model validation, monitoring, and cross-functional collaboration with business stakeholders to deploy scalable analytics solutions.

Qualifications

• 6+ years of experience in Statistical/Quantitative Modeling and/or ML tools with large datasets.
• Alternatively, a Bachelor's + 3+ years in relevant modeling/ML and data processing with SQL/Hadoop.
• Alternatively, a Master's+ with 1+ year in Statistical/Quant/ML and data processing.

Responsibilities

• Build, deploy, and monitor statistical and ML models in Python.
• Analyze structured and unstructured data to derive customer insights and predictive models.
• Design and maintain production data pipelines and data flows for analytics.

Skills

Statistical Modeling

Machine Learning

Python

R

SQL

Data Visualization

Education

Bachelor's degree (quant-focused)

Master's degree or higher (quant-focused)

Tools

Hadoop

SQL

Neo4j

AWS

Python

Job description

Progressive Insurance is seeking a data science professional for a remote role based in the United States. The candidate will work on statistical and ML modeling, developing data pipelines, and delivering actionable insights using Python, R, and cloud platforms such as AWS.

The role emphasizes leadership in model validation, monitoring, and cross-functional collaboration with business stakeholders to deploy scalable analytics solutions.