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Lead Data Scientist

Pay
Multiple pay statements — pay source
$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.
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Work setting
Working pattern needs review — work setting source
Listed location: Remote, UNAVAILABLE
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Employment
Not stated

What you’ll work on

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.

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • 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.
Qualification wording
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 & alternatives
Education: - BS in STEM majors is required. MS/Ph.D. is preferred. Experience:

About Mercury Insurance Services

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

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 7, 2026today
Recorded sightings
1

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How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 57.

From 10,564 similar postings that came down. Coming down is not always a hire.

Mercury Insurance Services is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • 17% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
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).

Your next step

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About Mercury Insurance Services

People
About 4,300 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as MCY.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Overview

Position Summary:

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.

Geo-Salary Information

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.

Responsibilities

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.
  • 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.

#LI-DS1

 

Qualifications

Education:

  • BS in STEM majors is required. MS/Ph.D. is preferred.

Experience:

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

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).
  • 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.

About the Company

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

Perks and Benefits

We offer many great benefits, including:

  • 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

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.

Pay Range

USD $118,664.00 - USD $230,619.00 /Yr.
Source details

View original posting ↗

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Source excerpts

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Pay
$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.
More source context
Pay Range USD $118,664.00 - USD $230,619.00 /Yr.
Location & working pattern

Remote

Working pattern and location restrictions need checking in the full posting.

Work authorization

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