Lead Growth Data Scientist Remote-Eligible

Mercury Insurance Services, LLC; United States; Remote; USD 119,000 - 231,000; Full time

Benefits offered by this job

Competitive compensation

Remote work from anywhere in the U.S.

Bonus potential

Health and vision insurance

401(k) retirement plan with company匹配

Job summary

Mercury Insurance Services, LLC is seeking an experienced Lead Data Scientist for the Growth Data Science team. You will partner with Marketing, Sales, and CX to identify growth opportunities, develop data-driven strategies, and deliver scalable ML solutions that improve acquisition, engagement, and ROI.

You will mentor junior data scientists, guide experimentation best practices, and translate complex insights into clear recommendations for senior leadership.

Qualifications

• BS in STEM required; MS/ PhD preferred.
• 7+ years of experience in data science, ML, or growth analytics with proven business impact.
• Expert-level SQL and Python in modern data/ML ecosystems.
• Experience in growth-focused data science (paid marketing optimization, attribution, funnel diagnostics, experimentation, user segmentation).
• Design and lead complex A/B/n testing, including multi-armed bandits and causal inference models.

Responsibilities

• Diagnose business challenges with Marketing, Sales, and CX leaders and define analytical roadmaps.
• Develop analyses, models, and frameworks to optimize acquisition, lifecycle engagement, and retention.
• Build scalable ML solutions to improve growth efficiency and ROI.
• Drive experimentation and data-driven optimization for acquisition, engagement, and monetization.
• Translate data insights into actionable recommendations for leadership.

Skills

SQL

Python

A/B testing

Causal inference

ML deployment

Generative AI tuning

Communication

Education

BS in STEM

MS/PhD preferred

Job description

Mercury Insurance Services, LLC is seeking an experienced Lead Data Scientist for the Growth Data Science team. You will partner with Marketing, Sales, and CX to identify growth opportunities, develop data-driven strategies, and deliver scalable ML solutions that improve acquisition, engagement, and ROI.

You will mentor junior data scientists, guide experimentation best practices, and translate complex insights into clear recommendations for senior leadership.