{"id":1326168,"url":"https://alion.io/job/walmart-staff-data-scientist-4","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":315,"ghost_share":0,"stale_share":0.079,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-30T05:45:00Z"}},"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":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":263},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Scala","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T01:35:06Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Position Summary...\nWhat you'll do...\nWhat you’lldo…\nAbout the Team\nTheDiscoveryProduct Analytics team partners closely with theDiscoveryProduct Management, Engineering, andBusinessteams to build, evaluate, and scaleproduct experiences on discovery and browse page including product design changes andmachine learning-powered recommendation that help millions of Walmart customers discover the right products at the right time.We provide the analytical foundations that shape customer relevance, experimentation frameworks, and product roadmap decisions for Walmart’s eCommerce platform.\nPosition Summary...\nWe areseekinga dynamic and experienced Staff,Data Scientist (Individual Contributor). Youwill be a technicalexpertdriving analytical strategyfocused on Home Page, Navigation,Dealsand other discovery pages. You will own complex analytical workstreams, design and interpret large-scale experiments, and influence decisions across multiple cross-functional partners. Ifyou’reexcited about solving ambiguous, high-impact problems at the intersection ofexperimentation,productanalytics,MLand customer experience, this role isa good fitfor you.\nPrimary Responsibilities\n1. Product Analytics Leadership\nPartner with Product Managers,Engineers,Data Scientists, and UX teams to define success metrics, measurement strategies, and opportunity assessments forproductfeatureenhancements and recommendation algorithms.\n\nTranslate ambiguous business or product questions into structured analytical approaches that influence prioritization and product direction.\n\n2. Deep Customer & Behavioral Analysis\nWork closely with engineering and product to build clickstream tracking\n\nLeverage clickstream data,userlogs, and customer engagement patterns to understand how customers interact withsitefeatures.\n\nPartner with personalization data science to increase adoption of personalization algorithms across discovery pages\n\nConduct funnel analysis, opportunity sizing,cohortanalysis, attribution, and retentionof Walmart customers.\n\n3. Experimentation Strategy & Execution\nDesign and evaluate large-scale A/B tests and advanced experimentation methods (e.g., quasi-experimental approaches, causal inference).\n\nEnsure experiment integrity throughappropriate poweranalysis, guardrail metrics, and thoughtful statistical methodologies.\n\nProduce end-to-end experiment readouts with clear conclusions, implications, and directional recommendations grounded in customer behavior.\n\n4.ML-Aware& Technical Execution\nUse expert-levelSQL to analyze large-scale datasets across platforms such asBigQuery, Hive, and Sparkto uncover user behavior insights to use for model building and ad-hoc analysis\n\nDevelop reproducible analytical pipelines and experiment workflows usingPython and PySpark.\n\nFamiliarity with ML concepts (e.g., predictive modeling using supervised and unsupervised ML methods, dimensionality reduction, clustering).\n\nApply data mining and feature-level diagnostics toidentifypatterns thatimpactcustomer experience or ML performance.\n\n5. AI aware\nUse prompt engineering and LLMsto simplify day-to-day work\n\nHands-on experiencetocreate innovative tools for workflow automation\n\n6. Storytelling & Insight Influence\nDeliver compelling, concise narratives that translate analytical findings into product and business implications.\n\nInfluence product and engineering leaders through data-backed recommendations and clear articulation of trade-offs.\n\n7. Cross-Functional Collaboration\nBuild strong relationships with Product, Engineering,Businessand Data Science partners.\n\nServe as a trusted voice whoanticipatesstakeholder needs, clarifies expectations,facilitatesalignment, and drives shared accountability.\n\nPreferredQualifications\nBachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field AND 8+years of experience in product analytics, data science, applied analytics, or experimentation(ORMaster’sdegree +6years).\n\nExpert-levelproficiencywithSQL and strong programming skills inPython.\n\nHands-on experience designing and analyzinglarge-scale A/B tests.\n\nFamiliarity with machine learning model concepts and evaluation techniques sufficient to interpret model-driven product behavior and partner effectively with ML teams.\n\nDemonstrated ability to influence product strategy and partner with senior cross-functional stakeholders.\n\nSuccess in This Role Looks Like\nCustomer & Business Understanding: Ability to translate analytical findings into customer insight and connect to business strategy.\n\nExperimentation & Analytical Rigor: High-quality experiment design, sound statistical analysis, and clear, actionable readouts.\n\nInsight Generation & Storytelling: Ability to create compelling narratives that shape product and algorithmic decisions.\n\nCross-Functional Collaboration: Strong communication, expectation management, and relationship-building across Product, Engineering, and Data Science.\n\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.Masters: Business Administration, Masters: Information Systems, Masters: StatisticsPrimary 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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