{"id":3562089,"url":"https://alion.io/job/walmart-usa-staff-data-scientist-6","title":"(USA) 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":332,"ghost_share":0,"stale_share":0.111,"repost_share":0.003,"time_to_fill_p50_days":6,"computed_at":"2026-10-31T05:58:55Z"}},"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":"explicit","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":247000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","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":"2026-10-30T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T02:29:02Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Position Summary...\nWhat you'll do...\nRole 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.\nAbout the team:\nOur 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.\nWhat you'll do:\nIdentify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.\nCollaborate with cross-functional teams to translate business problems into data-driven solutions.\nDesign, build, and validate predictive models using advanced statistical and machine learning techniques.\nImplement 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.\nAutomatically identify and select the best-performing models at the offline/experimentation level, reducing manual model-selection cycles.\nDeploy and monitor models in production, ensuring scalability and performance consistency.\nMentor team members on analytical methods, coding best practices, and model development.\nWhat you'll bring:\nProven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.\nProficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.\nExperience with model assessment, validation, and deployment in production environments.\nHands-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.\nExperience running automated experimentation against defined objective metrics (AutoResearch loops), including auto-generated evaluation reports, offline best-model selection.\nAbility to translate complex business problems into data-driven solutions using advanced analytical modeling.\nFamiliarity with MLOps practices and NLP techniques.\nEffective communication skills to present insights and mentor junior team members.\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.\nThe annual salary range for this position is $143,000.00 - $286,000.00\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...\n815 Eleventh 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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