Mercury Insurance

Lead Data Scientist

Mercury Insurance

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $118,684 - $230,619 per year

Job Level

Tech Stack

About the role

  • 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 art AI solutions in Data Science domain and mentor Jr. data scientists.
  • Drive best practices in experimentation, measurement, and growth analytics across the company.

Requirements

  • BS in STEM majors is required
  • MS/Ph.D. is preferred
  • 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
  • Experiences in growth-focused data science (e.g., 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 to measure impact in ambiguous environments
  • Hands-on experience building and deploying production ML models
  • Experience in fine-tuning Generative AI (LLMs) for domain-specific applications is a plus
  • Solid communication skills—able to simplify complex concepts for non-technical partners 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
  • Experience in a consumer, fintech, SaaS, or marketplace environment is a plus
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonmachine learningdata scienceA/B/n testingmulti-armed banditscausal inference modelsGenerative AIcustomer acquisitiongrowth analytics
Soft Skills
communication skillsstorytelling skillsproblem-solvingcollaborationmentoringbusiness intuitioninfluencing decision-makingsimplifying complex conceptsoperating in ambiguous environmentspartnering with stakeholders
Certifications
BS in STEMMS in STEMPh.D. in STEM