Senior Level Data Science Lead Jobs
Senior level data science lead jobs place experienced practitioners in charge of analytical strategy, model architecture decisions, and the cross-functional teams that turn data into measurable business outcomes. Openings concentrate across Technology & Software, Banking & Financial Services, and Insurance, with 46% remote or hybrid availability, and employers like Capital One, Lyft, and Tatari hiring at this level now.
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Showing 5 of 74+ Senior Level Data Science Lead jobs
About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
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Who's Hiring
Top Industries Hiring
- Technology & Software17
- Banking & Financial Services9
- Insurance7
- Biotechnology & Pharmaceuticals6
- Education5
Senior Level Data Science Lead Jobs: Frequently Asked Questions
How do I get a senior level data science lead job?
Employers at this level expect candidates to demonstrate ownership of end-to-end data science projects, not just technical execution. Highlight work where you defined the analytical approach, drove stakeholder alignment, and mentored junior data scientists. A portfolio showing business impact alongside model performance, combined with evidence of cross-functional leadership, gives you a clear edge over candidates with equivalent technical skills but narrower scope.
Which companies hire senior level data science leads?
Companies hiring senior level data science leads right now include Capital One, Lyft, and Tatari, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises with established data organizations, growth-stage technology companies scaling their analytics function, and consulting firms staffing embedded data science leadership for client engagements.
Are there remote senior level data science lead jobs?
Yes, remote and hybrid options are widely available at this experience level. About 46% of senior level data science lead openings are remote or hybrid as of September 2026, reflecting employer confidence in senior professionals who can lead distributed teams and communicate complex findings without daily in-person oversight. On-site roles tend to appear in highly regulated industries or where hands-on lab and data infrastructure access is required.
What makes a data science lead role senior level?
Senior level data science lead roles are defined by scope and accountability rather than task execution. You own the analytical roadmap for a product, business unit, or domain, make architectural decisions that affect the broader data stack, and mentor or manage data scientists whose output you are responsible for. Stakeholder influence, the ability to translate ambiguous business problems into data strategy, and a record of shipping work that changed decisions are the distinguishing factors.
Which industries hire the most senior level data science leads?
Senior Level data science lead roles concentrate in Technology & Software, Banking & Financial Services, and Insurance, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they operate at the scale and complexity where dedicated data science leadership, rather than individual contributors, is required to extract durable value from large, fast-moving datasets.