{"id":3319990,"url":"https://alion.io/job/walmart-usa-staff-data-scientist-5","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":"2026-10-30T05:48:23Z"}},"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":["Bentonville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":203000,"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":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-30T19:29:27Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Position Summary...\nWhat you'll do...\nRole summary:Join Walmart as a Staff Data Scientist and leverage your expertise in advanced analytics, machine learning, and data strategy to drive impactful business insights. This role involves identifying and validating data sources, developing predictive models, and delivering data-driven solutions that support strategic decision-making. You will collaborate across functions to translate complex business challenges into analytical approaches, ensuring data quality and effective model deployment. Your contributions will enhance Walmart’s ability to harness data for operational excellence and innovation within a dynamic, data-centric environment.\nAbout the team:\nOur team combines expertise in data engineering, software engineering, data science, and business analysis to deliver precise, production-ready solutions aligned with business goals. We develop enterprise-scale machine learning systems integral to every Walmart customer transaction, focusing on extracting and processing product attributes that ensure accurate taxation across all sales channels. Our work impacts every checkout and receipt, driving significant real-world outcomes. Collaborating closely with stakeholders, we apply advanced analytics, AI, and automation to innovate continuously, shaping how Walmart leverages data and machine learning to enhance operational efficiency and customer experience at scale.\nWhat you'll do:\nIdentify and assess data sources aligned with business requirements and quality standards to support analytics initiatives.\nDevelop and validate predictive models using advanced statistical and machine learning techniques to solve complex business problems.\nDesign and implement data visualization solutions to effectively communicate insights to stakeholders and influence decision-making.\nCollaborate with cross-functional teams to translate business needs into data-driven solutions and scalable model deployments.\nConduct exploratory data analysis and feature engineering to enhance model performance and accuracy.\nMaintain and monitor deployed models, ensuring continuous improvement and alignment with business objectives.\nWhat you'll bring:\nProven expertise in data science, including advanced analytics, predictive modeling, and machine learning algorithms.\nProficiency in programming languages such as Python and experience with data visualization.\nStrong knowledge of data strategy, data quality standards, and data governance principles.\nExperience in exploratory data analysis, model assessment, validation, and deployment at scale.\nAbility to translate complex business problems into data-driven solutions using statistical and AI techniques.\nSkilled in automation, MLOps, and natural language processing to enhance model performance and operational efficiency.\nEffective communication skills to present insights and guide cross-functional teams.\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 $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...\n905 Customer Dr, Bentonville, AR 72716, 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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