
Lead Data Scientist
Mercury Insurance
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Salary
💰 $118,684 - $230,619 per year
Job Level
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