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 154+ Senior Staff Data Scientist jobs
Position Summary...
What you'll do...
Role summary:The Staff Data Scientist will leverage advanced analytics, machine learning, and AI to deliver actionable insights that drive strategic business decisions. This role leads end-to-end model development, validation, deployment, and scalable AI/ML solutions within complex data ecosystems. Working cross-functionally, they translate business challenges into data-driven strategies while ensuring operational impact. As a people leader, they are responsible for building, coaching, and developing a high-performing team of data scientists. They provide technical thought leadership, champion the adoption of emerging AI capabilities, and drive innovation through scalable, intelligent solutions across the organization.
About the team:
The Marketplace Payments & Financial Services team enhances the Marketplace ecosystem by enabling reliable seller payouts, driving monetization, and expanding financial products while managing financial and compliance risks. The Data Science function develops advanced models and AI/ML capabilities to strengthen the intelligence layer within Payments & Financial Services. Operating in a fast-paced, high-impact environment, the team collaborates to deliver data-driven solutions that support business goals and accelerate marketplace success. Members leverage expertise in predictive analytics, machine learning, and data visualization to create scalable, effective financial services that drive innovation and growth.
What you'll do:
- Lead the development of scalable AI and data science solutions for a global Marketplace Payments platform across current and future marketplaces.
- Define the technical vision, roadmap, and reusable modeling frameworks for Payments & Financial Services.
- Partner with Product, Engineering, Operations, and Business leaders to deliver data-driven solutions that shape product strategy.
- Champion the adoption of emerging AI capabilities to improve decision-making, automation, and customer experience.
- Build scalable data assets, feature engineering, and model monitoring capabilities.
- Lead, coach, and develop a high-performing team of data scientists.
- Provide technical thought leadership and drive continuous innovation across the organization.
What you'll bring:
- Proven expertise in machine learning, predictive analytics, advanced statistical modeling, and AI, delivering scalable solutions with measurable business impact.
- Demonstrated technical leadership in defining data science strategy and establishing best practices across the model lifecycle.
- Strong people leadership experience, including building, coaching, and developing high-performing data science teams.
- Expertise in Python, SQL, enterprise data architecture, and scalable AI/ML solutions.
- Ability to influence senior leaders and cross-functional partners, translating complex business challenges into data-driven strategies.
- Experience building globally scalable analytical capabilities and championing the adoption of emerging AI technologies.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-30008: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
1601 SE 10th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Position Summary...
What you'll do...
Role summary:The Staff Data Scientist will leverage advanced analytics, machine learning, and AI to deliver actionable insights that drive strategic business decisions. This role leads end-to-end model development, validation, deployment, and scalable AI/ML solutions within complex data ecosystems. Working cross-functionally, they translate business challenges into data-driven strategies while ensuring operational impact. As a people leader, they are responsible for building, coaching, and developing a high-performing team of data scientists. They provide technical thought leadership, champion the adoption of emerging AI capabilities, and drive innovation through scalable, intelligent solutions across the organization.
About the team:
The Marketplace Payments & Financial Services team enhances the Marketplace ecosystem by enabling reliable seller payouts, driving monetization, and expanding financial products while managing financial and compliance risks. The Data Science function develops advanced models and AI/ML capabilities to strengthen the intelligence layer within Payments & Financial Services. Operating in a fast-paced, high-impact environment, the team collaborates to deliver data-driven solutions that support business goals and accelerate marketplace success. Members leverage expertise in predictive analytics, machine learning, and data visualization to create scalable, effective financial services that drive innovation and growth.
What you'll do:
- Lead the development of scalable AI and data science solutions for a global Marketplace Payments platform across current and future marketplaces.
- Define the technical vision, roadmap, and reusable modeling frameworks for Payments & Financial Services.
- Partner with Product, Engineering, Operations, and Business leaders to deliver data-driven solutions that shape product strategy.
- Champion the adoption of emerging AI capabilities to improve decision-making, automation, and customer experience.
- Build scalable data assets, feature engineering, and model monitoring capabilities.
- Lead, coach, and develop a high-performing team of data scientists.
- Provide technical thought leadership and drive continuous innovation across the organization.
What you'll bring:
- Proven expertise in machine learning, predictive analytics, advanced statistical modeling, and AI, delivering scalable solutions with measurable business impact.
- Demonstrated technical leadership in defining data science strategy and establishing best practices across the model lifecycle.
- Strong people leadership experience, including building, coaching, and developing high-performing data science teams.
- Expertise in Python, SQL, enterprise data architecture, and scalable AI/ML solutions.
- Ability to influence senior leaders and cross-functional partners, translating complex business challenges into data-driven strategies.
- Experience building globally scalable analytical capabilities and championing the adoption of emerging AI technologies.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-30008: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
ㅤ
ㅤ
ㅤ
ㅤ
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
1601 SE 10th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Senior Staff Data Scientist Jobs by Experience Level
Top Cities Hiring Senior Staff Data Scientists
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Who's Hiring
- Google11
- Walmart10
- Grindr7
- SentiLink6
- Waymo5
Top Industries Hiring
- Technology & Software47
- Retail9
- Banking & Financial Services9
- Artificial Intelligence5
- Healthcare & Medical Services4
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, Walmart, and Grindr, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of August 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 67% of senior staff data scientist openings are fully remote or hybrid as of August 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 154+ Senior Staff Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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