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Senior Data Science Insurance Jobs in California

Mercury

Senior Data Science Manager

San Francisco, CA · On-site +1

We're looking for a Senior Data Science Manager to lead the data science powering Mercury's revenue ... Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

Act as a senior data science expert within R&D, partnering with cross-functional teams across ... Short-term and long-term disability insurance in accordance with those plans. * Basic Life ...

Walmart

Senior, Data Scientist

Sunnyvale, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and analysis of complex, multi-system healthcare datasets-including EHR and claims data-powering our clinical ...

Walmart

Senior, Data Scientist

San Jose, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior, Data Scientist

Fremont, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior, Data Scientist

San Mateo, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior, Data Scientist

Cupertino, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior, Data Scientist

Milpitas, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and analysis of complex, multi-system healthcare datasets--including EHR and claims data--powering our ...

Walmart

Senior, Data Scientist

Mountain View, CA · On-site

$117K - $234K/yr

Our team tackles complex data science and ML engineering challenges related to product ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Kros-Wise

Senior Data Scientist

San Diego, CA

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working ...

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working ...

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Senior Data Science Insurance information

What is the difference between Senior Data Science Insurance vs Data Analyst Insurance?

AspectSenior Data Science InsuranceData Analyst Insurance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingReporting, data cleaning, basic analysis, dashboards
Employer & Industry UsageInsurance companies, financial services, risk assessmentInsurance firms, brokers, claims departments

Senior Data Science Insurance roles focus on developing predictive models and advanced analytics, requiring higher technical skills and experience. Data Analysts typically handle data reporting and basic analysis. Both roles are vital in insurance but differ in complexity and responsibilities.

What are the most commonly searched types of Data Science Insurance jobs in California? The most popular types of Data Science Insurance jobs in California are:
What cities in California are hiring for Senior Data Science Insurance jobs? Cities in California with the most Senior Data Science Insurance job openings:
Senior Data Science Insurance jobs near you
Senior Data Science Manager

Senior Data Science Manager

Mercury

San Francisco, CA • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

In 1923, Claude Hopkins published Scientific Advertising, introducing early ideas around experimentation, attribution, and measurable decision-making. Behind the book was a team that meticulously designed, executed, and measured campaigns - setting the foundation for modern, data-driven growth.
At Mercury, that mindset extends beyond marketing. It spans how we acquire customers, how we activate and convert them, and how we design product experiences that drive long-term value.
We're looking for a Senior Data Science Manager to lead the data science powering Mercury's revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing.
In this role, you'll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle - with a high bar for rigor and a bias toward execution. You'll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.
Here are some things you'll do on the job:
  • Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences
  • Define the measurement and experimentation strategy across the customer lifecycle - from acquisition and activation to monetization, expansion, and retention - ensuring our investments are grounded in rigorous analysis and trusted data
  • Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
  • Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
  • Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
  • Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
  • Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

You should:
  • Have 10+ years of experience, with 3+ years leading high-performing data teams
  • Bring deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
  • Demonstrate strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
  • Be highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
  • Have experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
  • Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

If this role interests you, we invite you to explore our public demo at personal-demo.mercury.com.
The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
  • US employees (any location): $239,000 - $298,800
  • Canadian employees (any location): CAD 225,900 - 282,400

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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