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Mercury Insurance

Auto and home insurance via agents

Lead Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A BS in a STEM major is required; an MS or Ph.D. is preferred.
  • At least 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 skills and experience working in modern data and machine learning ecosystems.
  • Experience in growth-focused data science, such as 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, to measure impact in ambiguous environments.
  • Hands-on experience building and deploying production machine learning models.
  • Ability to simplify complex concepts for non-technical partners and communicate insights through storytelling.
  • Ability to operate in zero-to-one problem spaces where clear ground truths may not exist.
  • Strong product and business intuition and comfort partnering with senior-level stakeholders.

Responsibilities

  • Partner with Marketing, Sales, and Customer Experience 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, including targeting, segmentation, uplift modeling, and lifetime value prediction, to improve growth efficiency and return on investment.
  • Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
  • Translate complex data insights into clear, actionable recommendations that influence decision-making across the organization.
  • Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
  • Keep familiar with state-of-the-art artificial intelligence solutions in data science and mentor junior data scientists.
  • Drive best practices in experimentation, measurement, and growth analytics across the company.

Desired Qualifications

  • Experience fine-tuning generative artificial intelligence large language models for domain-specific applications.
  • Experience in a consumer, fintech, software-as-a-service, or marketplace environment.

About the Company

Mercury Insurance

Auto and home insurance via agents

Mercury Insurance provides auto, home, condo, renter, and business insurance through a network of local independent agents. Its products are selected with guidance from agents and include options like mechanical protection; pricing is based on multiple factors rather than a single rate. Mercury differentiates itself with an independent agency model coupled with factor-based pricing and a long-standing asset base, supporting growth across several states. Its goal is to help people reduce risk and overcome unexpected events by offering reliable coverage and timely assistance through its agent network.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Brea, CA
Founded
1962

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