Staff Scientist Jobs
Staff Scientist jobs are open across biotech, pharmaceutical, and academic research settings, from early-career research scientist roles to principal and senior staff positions, with specializations in molecular biology, analytical chemistry, and data science. Find a role that fits below and apply directly.
Find Staff Scientist JobsOverview
Showing 5 of 475+ Staff Scientist jobs
Position Summary...
What you'll do...
**Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.**
Are you a hands-on, full-stack Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI at Walmart?
Role summary:
As a Staff Data Scientist, you will architect machine learning solutions for complex and ambiguous business problems, perform hands-on data exploration, processing, and analysis on massive datasets, and leverage state-of-the-art machine learning, deep learning, data mining, and GenAI techniques to develop scalable predictive models. You will design low-latency services to host and productionize models on the cloud, research advanced algorithms to solve challenging business problems, and communicate results to stakeholders through impactful presentations, publications, and internal or external conferences, while contributing to the team's core machine learning and software engineering capabilities.
About the Team:
Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experiences by empowering associates, stores, and merchants through technological innovation. We support a broad product range, including groceries, entertainment, sporting goods, and crafts, available online and in-store. Key focus areas include customer engagement, store operations, merchant tools, data science, and personalized search solutions. Leveraging advanced analytics and data-driven insights, the team drives continuous improvement to meet business goals and deliver value across multiple channels, ensuring Walmart remains a trusted and convenient shopping destination.
What you'll do:
- Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
- Perform data quality assessments and ensure data integrity for accurate model development.
- Develop, validate, and tune predictive models using advanced statistical, machine learning, deep learning, LLM techniques.
- Design and implement data visualizations to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Deploy and monitor models in production environments, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and solution design.
What you'll bring:
- Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field with 5+ years of relevant industry experience, or a Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production.
- Proven expertise in data science, including predictive analytics, machine learning algorithms, and deep learning techniques.
- Proficiency in programming languages such as Python and experience with data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of data strategy, data quality standards, and data governance principles.
- Experience with big data analytics, unstructured data processing, and MLOps for model deployment and scaling.
- Ability to assess, validate, and tune models using statistical methods and evaluation metrics.
- Skilled in translating complex business requirements into data-driven solutions and actionable insights.
- Effective communication skills to present data findings clearly to stakeholders and guide junior team members.
About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.Position Summary...
What you'll do...
**Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.**
Are you a hands-on, full-stack Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI at Walmart?
Role summary:
As a Staff Data Scientist, you will architect machine learning solutions for complex and ambiguous business problems, perform hands-on data exploration, processing, and analysis on massive datasets, and leverage state-of-the-art machine learning, deep learning, data mining, and GenAI techniques to develop scalable predictive models. You will design low-latency services to host and productionize models on the cloud, research advanced algorithms to solve challenging business problems, and communicate results to stakeholders through impactful presentations, publications, and internal or external conferences, while contributing to the team's core machine learning and software engineering capabilities.
About the Team:
Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experiences by empowering associates, stores, and merchants through technological innovation. We support a broad product range, including groceries, entertainment, sporting goods, and crafts, available online and in-store. Key focus areas include customer engagement, store operations, merchant tools, data science, and personalized search solutions. Leveraging advanced analytics and data-driven insights, the team drives continuous improvement to meet business goals and deliver value across multiple channels, ensuring Walmart remains a trusted and convenient shopping destination.
What you'll do:
- Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
- Perform data quality assessments and ensure data integrity for accurate model development.
- Develop, validate, and tune predictive models using advanced statistical, machine learning, deep learning, LLM techniques.
- Design and implement data visualizations to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Deploy and monitor models in production environments, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and solution design.
What you'll bring:
- Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field with 5+ years of relevant industry experience, or a Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production.
- Proven expertise in data science, including predictive analytics, machine learning algorithms, and deep learning techniques.
- Proficiency in programming languages such as Python and experience with data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of data strategy, data quality standards, and data governance principles.
- Experience with big data analytics, unstructured data processing, and MLOps for model deployment and scaling.
- Ability to assess, validate, and tune models using statistical methods and evaluation metrics.
- Skilled in translating complex business requirements into data-driven solutions and actionable insights.
- Effective communication skills to present data findings clearly to stakeholders and guide junior team members.
About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.See All 475+ Staff Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Staff Scientist JobsStaff Scientist Job Market
Who's Hiring
- Intuit52
- Terracon Consultants16
- Walmart15
- Google14
- SentiLink12
Top Industries Hiring
- Technology & Software61
- Education21
- Consulting & Professional Services15
- Science & Research12
- Banking & Financial Services8
What Employers Look For
The qualifications that appear most often in staff scientist jobs.
- PhD in a life science, chemical science, or related field
- Proficiency with one or more specialized laboratory platforms or analytical instruments
- Experience independently designing and executing experimental protocols
- Demonstrated record of peer-reviewed publications or technical reports
- Ability to mentor junior researchers, technicians, or graduate students
- Familiarity with data analysis tools such as Python, R, GraphPad Prism, or FlowJo
Tips for Your Staff Scientist Job Search
Tailor your resume to publication output
Staff scientist postings often screen for first- or co-author publications in peer-reviewed journals. List your top papers with journal names and years in a dedicated publications section, separate from your work history, so reviewers find them immediately.
Apply early to roles that fit
Migrate Mate lists staff scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight lab ownership, not just tasks
Hiring managers for staff scientist roles want independent operators, not bench technicians. Describe projects you designed or led end-to-end, including decisions you made on methodology, troubleshooting, and resource allocation, rather than listing assays or instruments you used.
Target postings by assay or platform specificity
Generic searches miss the best fits. Filter by the specific platform you know best, such as flow cytometry, CRISPR screening, or mass spectrometry, because many postings are written around a single core technology and filled by candidates who name it clearly on their resume.
Prepare a research narrative for interviews
Staff scientist interviews frequently include a chalk talk or informal seminar where you walk through your research arc. Practice a ten-minute narrative that connects your dissertation work to your most recent projects and explains why the next logical step lands at this specific lab or team.
Negotiate startup funds and equipment access
Salary isn't the only lever in a staff scientist offer. Research computing allocations, shared instrument time, and discretionary supply budgets are all negotiable and directly affect your ability to do independent work, so ask about each before you accept.
Staff Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most staff scientists?
The most active employers for staff scientists right now are Intuit, Terracon Consultants, and Walmart, and the most openings are in California, New York, and Massachusetts, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in biotech and pharmaceutical companies expanding their early-stage research pipelines.
How many staff scientist jobs are remote?
About 55% of staff scientist openings are fully remote or hybrid as of November 2026, though the share varies sharply by specialty. Computational biology, bioinformatics, and data-heavy research roles account for most of the fully remote positions, while wet-lab and instrumentation-dependent roles are almost entirely on-site.
How do you become a staff scientist?
Most staff scientists complete a PhD in a relevant discipline, then spend several years as a postdoctoral researcher building an independent publication record and developing expertise on a specific platform or question. From there, the path typically involves applying to industry or core facility roles where you can demonstrate project ownership, mentor junior staff, and contribute to grant or proposal writing without holding a faculty title.
Can I get hired as a staff scientist with little experience?
Entry-level staff scientist roles do exist, particularly in core facilities, contract research organizations, and large biotech companies that separate bench execution from principal investigator responsibilities. Your best approach is to emphasize any independent research project you led during your PhD or postdoc, name the specific instruments or assays you can run without supervision, and apply to postings that list your platform by name rather than targeting broadly defined research scientist titles.
What does the staff scientist interview process look like?
Most staff scientist interviews involve a screening call with a recruiter or lab manager, followed by a technical interview focused on your specific methods experience and troubleshooting approach. Many employers then ask for a research presentation or chalk talk where you walk through your scientific background and explain how it fits the team's current work. Final rounds often include meetings with multiple lab members and a discussion of day-to-day project responsibilities.
Where can I find and apply to staff scientist jobs?
You can find and apply to staff scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Find the roles that match your background, specialty, and preferred location, then apply directly to each listing from the page.
See All 475+ Staff Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Staff Scientist Jobs