Lead Data Scientist

Mercury Insurance

. Partner with Marketing, Sales, and Customer Experience organizations to identify growth opportunities .

Posted 11/7/2026full-timeRemote • United StatesSenior💰 $118,664 - $230,619 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and machine learning, with a strong focus on growth analytics, customer acquisition, and retention strategies. Proficient in building and deploying scalable machine learning models while effectively communicating insights to drive organizational decision-making.

Highest-signal resume keywords

Expert-Level SQLExpert-Level PythonData Science ExperienceMachine Learning Model DeploymentGrowth Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningGrowth AnalyticsA/B Testing FrameworksSegmentationAttributionFunnel DiagnosticsCustomer AcquisitionRetention StrategiesModeling

Soft Skills

Solid Communication SkillsStorytelling SkillsStrong Product IntuitionBusiness Intuition

Tools & Technologies

Modern Data EcosystemsML EcosystemsGenerative AILLMs

Certifications & Qualifications

BS in STEMMS/Ph.D. Preferred

Industry Keywords

ConsumerFintechSaaSMarketplace

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with Marketing, Sales, and Customer Experience organizations to identify growth opportunities
Diagnose business challenges, define analytical roadmaps, and drive growth strategies
Develop analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention
Build scalable machine learning solutions for targeting, segmentation, uplift modeling, and LTV prediction
Drive acquisition, retention, and monetization through experimentation and modeling
Translate complex data insights into actionable recommendations for organizational decision-making
Collaborate with engineering teams to productionize models and analytics pipelines
Stay familiar with state-of-the-art AI solutions in Data Science
Mentor junior data scientists
Drive best practices in experimentation, measurement, and growth analytics across the company

Requirements

What you’ll need

BS in STEM majors is required
7+ years of experience in data science, machine learning, or growth analytics, with a track record of delivering business impact
Expert-level SQL and Python
Experience working in modern data and ML ecosystems
Experience in growth-focused data science, including paid marketing optimization, attribution, funnel diagnostics, experimentation, and user segmentation
Ability to 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
Solid communication skills and good storytelling skills
Ability to operate in zero-to-one problem spaces where clear ground truths may not exist
Strong product and business intuition; comfortable partnering with senior-level stakeholders
MS/Ph.D. preferred
Experience fine-tuning Generative AI (LLMs) for domain-specific applications is a plus
Experience in a consumer, fintech, SaaS, or marketplace environment is a plus

Benefits

Comp & perks

Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Competitive salary
Bonus potential
Reasonable accommodations for qualified individuals with disabilities