Senior Level Lead Scientist Jobs
Senior level lead scientist jobs place experienced scientists in charge of research direction, experimental design, and the cross-functional teams that drive results from hypothesis to deliverable. Roles are concentrated across Banking & Financial Services, Fintech, and Agriculture & Farming, with 33% offering remote or hybrid arrangements, and employers like JPMorganChase, Tiger Analytics, and Forward Financing hiring at this level now.
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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:
State specific pay scales for this role are as follows:
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:
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.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
- 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 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.
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:
State specific pay scales for this role are as follows:
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:
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.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
- 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 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.
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Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Fintech
- Agriculture & Farming
- Technology & Software
- Investment & Asset Management
Senior Level Lead Scientist Jobs: Frequently Asked Questions
How do I get a senior level lead scientist job?
Employers at this level look for scientists who can own a research program end-to-end, not just execute within one. That means demonstrating that you've set scientific direction, made decisions under uncertainty, and developed junior scientists on your team. Tailoring your application to show cross-functional leadership, published or applied outcomes, and comfort with ambiguity gives candidates the strongest edge.
Which companies hire senior level lead scientists?
Companies hiring senior level lead scientists right now include JPMorganChase, Tiger Analytics, and Forward Financing, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large R&D-driven organizations, biotech and pharmaceutical firms, and industrial or technology companies with active research programs.
Are there remote senior level lead scientist jobs?
Yes, though availability varies by discipline and employer. About 33% of senior level lead scientist openings are remote or hybrid as of November 2026, with computational, data-intensive, and regulatory science roles offering the most flexibility. Lab-based and hands-on research positions are more likely to require on-site presence.
What makes a lead scientist role senior level?
Senior level lead scientist roles are defined by scope and ownership. Where mid-level scientists execute within a defined project, senior scientists set the scientific agenda, resolve technical blockers across teams, and are accountable for program outcomes. They mentor junior and mid-level scientists, contribute to hiring and strategy decisions, and are expected to represent their discipline externally or across the organization.
Which industries hire the most senior level lead scientists?
Senior Level lead scientist roles concentrate in Banking & Financial Services, Fintech, and Agriculture & Farming, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they sustain large internal research functions, require deep technical specialization, and depend on experienced scientists to lead programs that connect discovery to commercial or regulatory outcomes.