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$XX to $XX (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) In CA: Typical hiring range is $$139,713 - $218,302 The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Pay Range USD $118,664.00 - USD $230,619.00 /Yr.Read the full posting
Listed location: Remote, UNAVAILABLERead the full posting
We are looking for an experienced Lead Data Scientist to join our Growth Data Science team at Mercury Insurance.
$XX to $XX (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
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.
We are looking for an experienced Lead 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.
$XX to $XX (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
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.
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.
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.
7+ years of experience in data science, machine learning, or growth analytics, with a track record of delivering business impact.
Hands-on experience building and deploying production ML models.
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.
Experience in fine-tuning Generative AI (LLMs) for domain-specific applications is a plus.
Experience in a consumer, fintech, SaaS, or marketplace environment is a plus.
Education: - BS in STEM majors is required. MS/Ph.D. is preferred. Experience:
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,553 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Knowledge and Skills: - Expert-level 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).
Complete your application on careers-mercuryinsurance.icims.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
We are looking for an experienced Lead 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:
$XX to $XX (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$XX to $XX (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$XX to $XX (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
In CA: Typical hiring range is $$139,713 - $218,302
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Essential Job Functions:
#LI-DS1
Experience:
Knowledge and Skills:
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
We offer many great benefits, including:
Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.
Mercury is committed to working with and providing reasonable accommodations for qualified individuals with disabilities who need assistance with the application and/or employment consideration process. If you require an accommodation, you may contact us by sending an e-mail to recruiting@mercuryinsurance.com. Please include your name, contact information, and a description of your requested accommodation in your message.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
$XX to $XX (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) In CA: Typical hiring range is $$139,713 - $218,302 The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Pay Range USD $118,664.00 - USD $230,619.00 /Yr.
Remote
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.