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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Position Summary...
What you'll do...
Role summary:As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and validation to support decision-making across multiple domains. You will collaborate with cross-functional teams to design scalable solutions, develop predictive models, build auto-research capabilities, communicate findings through effective data visualization — while also mentoring junior team members to build technical capability across the team and driving end-to-end projects. Your contributions will drive innovation and operational excellence, ensuring data-driven strategies align with business objectives and deliver measurable value.
About the team:
Our team develops foundational models tailored for Walmart’s e-commerce platform by leveraging large-scale user interactions to create detailed representations of users, products, and search queries. These models support scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. Emphasizing data quality, advanced analytics, and effective visualization, the team delivers actionable insights that drive key business outcomes. Collaboration across functions fosters innovation and continuous improvement within a dynamic technology environment.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Design, build, and validate predictive models using advanced statistical and machine learning techniques.
- Implement autonomous research loops where AI agents iteratively tune hyperparameters, modify training code/architecture, and run experiments against a defined objective metric (e.g., validation loss) with minimal human intervention.
- Automatically identify and select the best-performing models at the offline/experimentation level, reducing manual model-selection cycles.
- Deploy and monitor models in production, ensuring scalability and performance consistency.
- Mentor team members on analytical methods, coding best practices, and model development.
What you'll bring:
- Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Experience with model assessment, validation, and deployment in production environments.
- Hands-on experience building or operating agentic/autonomous research systems — e.g., AI agents that iteratively tune hyperparameters, modify training code/architecture with minimal human intervention.
- Experience running automated experimentation against defined objective metrics (AutoResearch loops), including auto-generated evaluation reports, offline best-model selection.
- Ability to translate complex business problems into data-driven solutions using advanced analytical modeling.
- Familiarity with MLOps practices and NLP techniques.
- Effective communication skills to present insights and mentor junior team members.
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.
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...
815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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:As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and validation to support decision-making across multiple domains. You will collaborate with cross-functional teams to design scalable solutions, develop predictive models, build auto-research capabilities, communicate findings through effective data visualization — while also mentoring junior team members to build technical capability across the team and driving end-to-end projects. Your contributions will drive innovation and operational excellence, ensuring data-driven strategies align with business objectives and deliver measurable value.
About the team:
Our team develops foundational models tailored for Walmart’s e-commerce platform by leveraging large-scale user interactions to create detailed representations of users, products, and search queries. These models support scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. Emphasizing data quality, advanced analytics, and effective visualization, the team delivers actionable insights that drive key business outcomes. Collaboration across functions fosters innovation and continuous improvement within a dynamic technology environment.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Design, build, and validate predictive models using advanced statistical and machine learning techniques.
- Implement autonomous research loops where AI agents iteratively tune hyperparameters, modify training code/architecture, and run experiments against a defined objective metric (e.g., validation loss) with minimal human intervention.
- Automatically identify and select the best-performing models at the offline/experimentation level, reducing manual model-selection cycles.
- Deploy and monitor models in production, ensuring scalability and performance consistency.
- Mentor team members on analytical methods, coding best practices, and model development.
What you'll bring:
- Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Experience with model assessment, validation, and deployment in production environments.
- Hands-on experience building or operating agentic/autonomous research systems — e.g., AI agents that iteratively tune hyperparameters, modify training code/architecture with minimal human intervention.
- Experience running automated experimentation against defined objective metrics (AutoResearch loops), including auto-generated evaluation reports, offline best-model selection.
- Ability to translate complex business problems into data-driven solutions using advanced analytical modeling.
- Familiarity with MLOps practices and NLP techniques.
- Effective communication skills to present insights and mentor junior team members.
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.
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
ã…¤
ã…¤
ã…¤
ã…¤
‎
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...
815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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
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Who's Hiring
- Intuit31
- Google10
- Grindr7
- Walmart6
- SentiLink6
Top Industries Hiring
- Technology & Software30
- Banking & Financial Services6
- Retail4
- Investment & Asset Management3
- Automotive2
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 Intuit, Google, and Grindr, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of November 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 76% of senior staff data scientist openings are fully remote or hybrid as of November 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 145+ Senior Staff Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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