Senior Staff Data Scientist Jobs
Senior Staff Data Scientist jobs are open across technology, finance, healthcare, and retail, from senior individual contributor to staff and principal levels, with specializations in machine learning, causal inference, and experimentation platforms. Find a role that fits from the openings below and apply directly.
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Showing 5 of 148+ Senior Staff Data Scientist jobs
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years work experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- 2 years of work experience (e.g., as a statistician, data scientist, or product analyst), including statistical data analysis such as linear models, multivariate analysis, causal inference, and sampling methods.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Experience translating analysis results into business recommendations.
About the job
Google Labs exists to discover and deliver new products that advance Google’s mission. Labs builds innovative new products and gets them into the hands of users as quickly as possible. The Labs team also runs labs.google, a place where you can try and co-create with Google's latest AI. We co-create with internal and external teams to showcase their bold and responsible ideas, so we can all shape the future of technology together (see go/labs).
For this role, you will be joining the Data Science team within Labs. The Labs Data Science team is a horizontal team, and we help the broader Labs team with metrics, experimentation, evaluation, insights, and data-driven decision making.
The Labs Data Science team is a horizontal team that supports quality evaluation, growth analysis, and data-driven decision making across the portfolio of Labs products. In this role, you will work closely with Labs product teams (Product Managers, Engineers, and cross-functional partners) on selected analysis projects. Example projects include growth and funnel analysis, quality evaluation (autoraters, metrics, eval set development), top-line metrics development, and user insights. You will work with these teams to develop scalable analytical tools (dashboards, metrics, pipelines), and also to communicate actionable results to the product teams to help influence product direction.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Share/present analysis to organization executives in order to share insights and influence product direction.
- Build and prototype analysis pipelines iteratively to provide insights at scale.
- Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years work experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- 2 years of work experience (e.g., as a statistician, data scientist, or product analyst), including statistical data analysis such as linear models, multivariate analysis, causal inference, and sampling methods.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Experience translating analysis results into business recommendations.
About the job
Google Labs exists to discover and deliver new products that advance Google’s mission. Labs builds innovative new products and gets them into the hands of users as quickly as possible. The Labs team also runs labs.google, a place where you can try and co-create with Google's latest AI. We co-create with internal and external teams to showcase their bold and responsible ideas, so we can all shape the future of technology together (see go/labs).
For this role, you will be joining the Data Science team within Labs. The Labs Data Science team is a horizontal team, and we help the broader Labs team with metrics, experimentation, evaluation, insights, and data-driven decision making.
The Labs Data Science team is a horizontal team that supports quality evaluation, growth analysis, and data-driven decision making across the portfolio of Labs products. In this role, you will work closely with Labs product teams (Product Managers, Engineers, and cross-functional partners) on selected analysis projects. Example projects include growth and funnel analysis, quality evaluation (autoraters, metrics, eval set development), top-line metrics development, and user insights. You will work with these teams to develop scalable analytical tools (dashboards, metrics, pipelines), and also to communicate actionable results to the product teams to help influence product direction.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Share/present analysis to organization executives in order to share insights and influence product direction.
- Build and prototype analysis pipelines iteratively to provide insights at scale.
- Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.
Senior Staff Data Scientist Jobs by Experience Level
Top Cities Hiring Senior Staff Data Scientists
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Find JobsSenior Staff Data Scientist Job Market
Who's Hiring
- Google16
- Intuit10
- Walmart9
- Grindr7
- SentiLink6
Top Industries Hiring
- Technology & Software32
- Banking & Financial Services7
- Investment & Asset Management6
- Retail5
- Education2
What Employers Look For
The qualifications that appear most often in senior staff data scientist jobs.
- PhD or MS in statistics, computer science, or a related quantitative field with 8 or more years of industry experience
- Deep proficiency in Python and SQL with production-level experience in machine learning frameworks such as PyTorch or TensorFlow
- Experience designing and analyzing large-scale A/B tests and causal inference studies in high-traffic environments
- Demonstrated ability to lead technical strategy and mentor senior data scientists across multiple project teams
- Hands-on experience with distributed computing platforms such as Spark, Databricks, or equivalent cloud-native ML infrastructure
- Strong communication skills with a history of presenting modeling recommendations to executive or cross-functional stakeholders
Tips for Your Senior Staff Data Scientist Job Search
Quantify impact at the systems level
Senior staff roles expect you to show influence beyond individual models. Reframe resume bullets around decisions you shaped, pipelines you designed for reuse, and measurable downstream outcomes, not just model accuracy or experiment volume.
Distinguish staff from senior on your resume
Hiring managers screen hard for cross-functional scope. Explicitly name the teams you partnered with, the roadmap decisions you influenced, and any mentorship or technical direction you provided to other scientists or analysts.
Target job listings by platform and stack
Filter openings by the specific ML infrastructure stack listed in each posting. If you have deep experience in a particular ecosystem, prioritize roles where that stack appears in requirements, not just in the nice-to-have section.
Apply early to roles that fit
Migrate Mate lists senior staff data scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a technical narrative for the system design round
Staff-level interviews almost always include a machine learning system design session. Practice explaining the full lifecycle of a production system you owned, covering data ingestion, feature engineering, model serving, and monitoring decisions you made and why.
Negotiate scope before you negotiate compensation
At the staff level, job scope varies widely between companies using the same title. Before accepting an offer, clarify reporting structure, team size, and whether the role owns a product area or consults across teams, then negotiate from there.
Senior Staff Data Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most senior staff data scientists?
The companies hiring the most senior staff data scientists right now include Google, Intuit, and Walmart, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of September 2026. Demand is particularly concentrated in companies running large-scale personalization, recommendation, or forecasting systems.
How many senior staff data scientist jobs are remote?
About 74% of senior staff data scientist openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible senior technical roles. Positions focused on experimentation platforms, ML platform engineering, and applied research tend to offer remote options most frequently compared to embedded product science roles.
How do you become a senior staff data scientist?
You become a senior staff data scientist by progressing through individual contributor data science roles while taking on increasing cross-functional scope. Build a record of owning production ML systems end to end, leading technical decisions that affect multiple teams, and mentoring other scientists. Most people reach this level after several years as a senior or staff data scientist at a company where they drove measurable product or business outcomes.
Can you get hired as a senior staff data scientist without prior staff-level experience?
You can get hired at the senior staff level without a prior staff title if your project history demonstrates equivalent scope. Focus your application materials on systems you owned independently, decisions you made without managerial direction, and the scale of the data or traffic those systems handled. Some companies promote strong senior data scientists directly into staff roles after a significant cross-functional project, so internal moves are also a realistic path.
What does the senior staff data scientist interview process look like?
The interview process for a senior staff data scientist typically includes a recruiter screen, a technical phone interview covering statistics or ML fundamentals, a machine learning system design session, a coding or analytical problem-solving round, and a set of cross-functional behavioral interviews focused on leadership and influence. Many companies also include a presentation of past work where you walk through a project you owned, the decisions you made, and the outcome.
Where can I find and apply to senior staff data scientist jobs?
You can find and apply to senior staff data scientist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 148+ Senior Staff Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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