Position Summary:

We are looking for an experienced Sr. 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—bring deep technical expertise, strong business intuition, and the ability to drive measurable business value through automated, domain-specific AI solutions.

An in-person interview may be required during the hiring process

State specific pay scales for this role are as follows:

$94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$X77,283 to $146,494 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Essential Job Functions: 

• 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.

• Drive best practices in experimentation, measurement, and growth analytics across the company.

Education: 

• BS in STEM majors is required. MS is preferred.

Experience:

• 5+ years of experience in data science, machine learning, or growth analytics, with a track record of delivering business impact.

Knowledge and Skills:

• Proficiency in SQL and Python, and 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).

• Expertise statistical methods, causal inference, and A/B testing at scale.

• 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. 

• Strong product and business intuition; comfortable partnering with senior-level stakeholders.

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