{"id":3562086,"url":"https://alion.io/job/walmart-senior-data-scientist-6","title":"Senior, 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":333,"ghost_share":0,"stale_share":0.111,"repost_share":0.003,"time_to_fill_p50_days":6,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bentonville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":3,"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":"SQL","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":"2026-11-01T22:20:28Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Position Summary...\nWalmart is seeking a Senior Data Scientist to leverage advanced analytical techniques and data science expertise to drive business insights and solutions. This role involves identifying and sourcing relevant data, developing and validating predictive models, and deploying scalable analytical solutions. The successful candidate will collaborate across functions to translate complex business challenges into data-driven strategies, ensuring alignment with organizational goals. Strong proficiency in programming, statistical methods, and data visualization is essential to support decision-making and deliver measurable business value. Mentorship and knowledge sharing with junior team members are also key responsibilities.About the team:\nJoin Walmart’s Supply Chain Finance team, where advanced analytics power solutions for over 295 million customers globally. The team develops and enhances the Supply Chain Labor Optimization platform, managing millions of records daily to improve labor allocation across fulfillment and distribution centers. Collaborating with cross-functional partners, the team applies predictive analytics, machine learning, and data visualization to deliver actionable insights. This dynamic environment encourages continuous learning and innovation, enabling members to address complex challenges and contribute to Walmart’s operational excellence and strategic growth.\nWhat you'll do...\nIdentify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.\nDevelop, test, and deploy advanced analytical models using programming languages such as Python and SQL.\nPerform exploratory data analysis and apply statistical methods to generate actionable business insights.\nCollaborate with stakeholders to translate business requirements into data-driven solutions aligned with strategic goals.\nCreate clear and effective data visualizations to communicate findings to technical and non-technical audiences.\nMentor junior team members on modeling techniques and best practices.\nSupport scalability and sustainability of deployed models through continuous evaluation and tuning.\n What you'll bring: \nExtensive experience in data science and advanced statistical methods to develop and validate predictive models.\nProficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.\nStrong knowledge of machine learning techniques, data mining, and exploratory data analysis.\nExpertise in data source identification, quality assessment, and database technologies including SQL and NoSQL.\nAbility to deploy, scale, and maintain analytical models in production environments.\nSolid understanding of business context to translate requirements into actionable data solutions.\nExperience mentoring junior team members and collaborating cross-functionally to achieve business goals.\n At 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 $90,000.00 - $180,000.00\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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred 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, Master’s degree 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...\n805 Respect, 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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