{"id":694204,"url":"https://alion.io/job/walmart-usa-principal-data-scientist-2","title":"(USA) Principal, 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":335,"ghost_share":0,"stale_share":0.113,"repost_share":0.003,"time_to_fill_p50_days":5,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"PyTorch","optional":true},{"name":"Scala","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-02T20:57:34Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Position Summary...\nWhat you'll do...\nRole summary:Join our One Demand Forecasting organization as a Principal Data Scientist, where you’ll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you will:\nContribute to the development of intelligent, large-scale demand forecasting systems by designing and improving models that analyze data across numerous item, store, and location combinations.\nAbout the team:\nThis team collaborates closely with business, product, and engineering partners to align forecasts with operational goals. Drive the application of advanced forecasting methods-ranging from statistical techniques to machine learning models-to improve accuracy, scalability, and explainability.\nPartner with engineering teams to enhance and scale forecasting platforms to address critical business needs, granularities, and time horizons.\nData Scientist - Forecasting and Machine Learning\nAre you passionate about solving complex forecasting problems with data and machine learning? Join our team as a\nData Scientist to help build scalable and impactful forecasting models that drive critical business decisions across billions of data points. In this role, you will focus on contributing to the development and deployment of forecasting solutions, collaborating with cross-functional teams, and honing your skills in advanced modeling techniques.\n**Immigration Sponsorship support will NOT be available for this\nposition**\nWhat you'll do:\nBuild and improve forecasting models to support demand planning across multiple levels, including item, store, and location.\nExperiment with and implement advanced ML/statistical techniques (e.g., regression, time series analysis, probabilistic modeling) to improve forecast accuracy.\nCollaborate with engineering teams to define feature pipelines, improve model training workflows, and deploy forecasts into production environments.\nAssist withprototyping new forecasting methods, such as ensembling models or incorporating deep learning architectures, under the guidance of senior team members.\nIntegrate additional data sources (e.g., promotions, events, macroeconomic indicators) to enhance inputs for generating more accurate forecasts.\nSupport the monitoring and evaluation of forecasting models, building dashboards and using SQL or Python to surface key results and detect anomalies.\nWork closely with business, product, and operations teams to ensure forecasts meet real-world requirements and are useful for decision-making.\nParticipate in themaintenance of responsible AI practices, contributing to explainability, fairness, and data governance efforts.\nStay up-to-date on the latest data science tools and technologies and propose new methods or tools to enhance the forecasting process.\nWhat you'll bring:\nFoundational experience withmachine learning, data analysis, or forecasting through 8+ years of professional experience or relevant academic graduate-level coursework/projects.\nStrong programming skills in Python (R is nice to have), and experience with machine learning libraries/frameworks like Scikit-learn, TensorFlow, or PyTorch.\nProficiency in SQL and experience working with large datasets or cloud computing environments (e.g., AWS, GCP, or Azure).\nFamiliarity withtime series forecasting techniques or interest in learning advanced techniques such as probabilistic models or deep learning.\nAbility to collaborate with interdisciplinary teams and translate business problems into data science solutions.\nStrong communication skills to visualize and explain analytical results to non-technical stakeholders.\nExperience with containerization (e.g., Docker) or MLOps tools is nice to have but not required. Hands-on experience building and enhancing forecasting models that address real-world demand planning challenges.\nOpportunities to work on cutting-edge techniques and scalable projects, with mentorship from senior data scientists and machine learning experts.\nExposure to a wide range of business scenarios, tools, and technologies that will expand your skills and accelerate your career growth.\nA collaborative, learning-focused environment where your contributions will have a direct impact on business outcomes. 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.\nSunnyvale, California US-11658: The annual salary range for this position is $143,000.00 - $286,000.00\nBENTONVILLE, Arkansas US-10929: 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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...\n1275 Crossman Ave, Sunnyvale, CA 94089-1103, 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. This policy applies to all employees and aims to create a safe and productive work environment.","description_format":"text","description_chars":8149,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-11T01:31:56Z"},{"event":"close","at":"2026-09-11T17:16:04Z"},{"event":"restore","at":"2026-09-14T20:42:41Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.327,"p_room":0.28,"age_days":55,"expected_fill_days":5,"reasons":["conf:0","wave","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":286000,"is_top_pay":true},"html_url":"https://alion.io/job/walmart-usa-principal-data-scientist-2","json_url":"https://alion.io/job/walmart-usa-principal-data-scientist-2.json","meta":{"generated_at":"2026-11-02T23:01:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32320,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":236},"rest":"https://alion.io/mcp/rest/get_company?id=236"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwalmart-usa-principal-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwalmart-usa-principal-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwalmart-usa-principal-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/walmart-usa-principal-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwalmart-usa-principal-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":694204}},{"tool":"search_jobs","arguments":{"company":"walmart.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":694204},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}