Growth Data Scientist Lead - Remote & High-Impact ML

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

Benefits offered by this job

Competitive compensation

Flexible to work from anywhere in the

Paid time off

Incentive bonus programs

Medical, dental, vision, life, and pet

401(k) retirement savings with company

Engaging work environment

Promotional opportunities

Education assistance

Professional and personal development

Company recognition program

Wellbeing resources including therapy

Job summary

Mercury Insurance Company is seeking an experienced Lead Data Scientist for its Growth Data Science team. You will partner with Marketing, Sales, and Customer Experience to identify growth opportunities, optimize acquisition and engagement, and deliver scalable AI-driven solutions.

You will act as a thought leader, bringing deep technical expertise, business intuition, and the ability to drive measurable value through automated domain-specific AI solutions.

Qualifications

• BS in STEM majors required; MS/Ph.D. preferred.
• 7+ years of experience in data science, machine learning, or growth analytics with business impact.
• Expert-level SQL and Python, and experience 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 frameworks, including multi-armed bandits and causal inference models.
• Hands-on experience building and deploying production ML models.
• Experience fine-tuning Generative AI (LLMs) for domain-specific applications is a plus.
• Strong communication skills to simplify complex concepts for non-technical partners; good storytelling.

Responsibilities

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state-of-the-art AI solutions in Data Science and mentor junior data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Skills

SQL

Python

A/B testing

Machine learning

Data storytelling

Growth analytics

LTV prediction

Education

BS in STEM

Job description

Mercury Insurance Company is seeking an experienced Lead Data Scientist for its Growth Data Science team. You will partner with Marketing, Sales, and Customer Experience to identify growth opportunities, optimize acquisition and engagement, and deliver scalable AI-driven solutions.

You will act as a thought leader, bringing deep technical expertise, business intuition, and the ability to drive measurable value through automated domain-specific AI solutions.