Staff Data Scientist, Growth Data Science

Mercury Insurance Services, LLC

4d•Remote

About The Position

We are looking for a highly experienced Staff Data Scientist to join our Growth Data Science team at Mercury Insurance. In this role, you will partner closely with our Marketing, Sales, and Customer Experience organizations to identify growth opportunities, optimize acquisition and engagement strategies, and deliver scalable, data-driven solutions. You will act as a thought leader—bringing deep technical expertise, strong business intuition, and the ability to translate insights into measurable impact. Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: https://www.mercuryinsurance.com/about/careers

Requirements

10+ years of experience in data science, machine learning, or growth analytics, with a track record of delivering business impact.
BS in STEM majors is required. MS is preferred.
Strong proficiency in SQL and Python, and experience working in modern data and ML ecosystems.
Deep experience in growth-focused data science (e.g., paid marketing optimization, attribution, funnel diagnostics, experimentation, user segmentation).
Expertise in statistical methods, causal inference, and A/B testing at scale.
Experience building and deploying production ML models.
Exceptional communication skills—able to simplify complex concepts for non-technical partners and influence strategy.
Strong product and business intuition; comfortable partnering with senior-level stakeholders.

Nice To Haves

Experience in a consumer, fintech, SaaS, or marketplace environment is a plus.

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.
Design and evaluate A/B tests and causal inference studies; partner with stakeholders to operationalize results.
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.
Set technical direction for the team, raise the bar on analytical excellence, and mentor data scientists across levels.
Drive best practices in experimentation, measurement, and growth analytics across the company.

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