{"id":681350,"url":"https://alion.io/job/walmart-staff-data-scientist","title":"Staff, Data Scientist","company":{"id":236,"name":"Walmart","domain":"walmart.com","url":"https://alion.io/company/walmart","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":329,"ghost_share":0,"stale_share":0.103,"repost_share":0.003,"time_to_fill_p50_days":6,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":143000,"max":286000,"currency":"USD","period":"year","gross":null,"usd_annual":286000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"Tableau","optional":false},{"name":"Scala","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-25T08:51:36Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Position Summary...\nAs 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, validation, and deployment to support critical decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, ensure data quality, and communicate findings through effective visualization. Your contributions will drive innovation and operational excellence, enabling Walmart to optimize performance and deliver measurable value in a dynamic, data-driven environment.What you'll do...\nAbout the team:The team specializes in leveraging advanced data science techniques, including predictive analytics, machine learning, and data visualization, to deliver actionable business insights. Members collaborate across functions to identify data sources, ensure data quality, and develop robust analytical models. They apply statistical methods and programming skills to solve complex problems, support data strategy, and communicate findings effectively to stakeholders. The team fosters continuous learning and innovation, driving improvements through rigorous model validation and deployment. Their work supports informed decision-making and contributes to achieving strategic business objectives within a dynamic environment.\nWhat you'll do: \nIdentify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.\nDevelop and implement data strategies aligned with business objectives to unlock value from data assets.\nBuild, validate, and tune predictive models using advanced statistical and machine learning techniques.\nCreate clear and impactful data visualizations to communicate insights effectively to stakeholders.\nTranslate complex business problems into data-driven solutions and actionable recommendations.\nCollaborate with cross-functional teams to deploy scalable models and monitor their performance.\nMentor junior team members on analytical methods, coding best practices, and data storytelling.\n What you'll bring: \nProven expertise in predictive analytics, machine learning algorithms, and data science methodologies.\nProficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, or Tableau.\nStrong knowledge of data strategy, including data quality standards, governance, and scalable data storage solutions.\nExperience conducting exploratory data analysis and applying statistical methods to interpret complex datasets.\nAbility to assess, validate, and tune models using best practices and relevant evaluation metrics.\nUnderstanding of business context to translate requirements into actionable data-driven solutions.\nSkilled in coding, testing, and deploying models and data applications in production environments.\nAt Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.\nYou will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.\nFor information about PTO, see https://one.walmart.com/notices.\nLive Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. \nEligibility 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. \nFor information about benefits and eligibility, see One.Walmart.\nSunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00\nBentonville, Arkansas US-30008: The annual salary range for this position is $110,000.00 - $220,000.00\nAdditional compensation includes annual or quarterly performance bonuses.\nAdditional compensation for certain positions may also include : \n- Stock\nㅤ\nㅤ\nㅤ\nㅤ\n\nMinimum Qualifications...\nOutlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.\nOption 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...\nOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.\nData 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...\n809 11th Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart 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. 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