{"id":3437108,"url":"https://alion.io/job/walmart-usa-principal-data-scientist-6","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":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":"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":["Sunnyvale, United States","Bellevue, United States","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":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Azure","optional":true},{"name":"CUDA","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"Kubeflow","optional":true},{"name":"LLM","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Scala","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T00:51:15Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Position Summary...\nWhat you'll do...\nWalmart MarketplaceWalmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return & refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products.\nMore about Marketplace: https://marketplace.walmart.com/\nWhat You Will Do: \nConsult with business stakeholders regarding algorithm-based recommendations and be a thought leader to develop these into business actions.\nClosely partner with the Senior Manager and Director of Data Science to drive data science adoption in the domain.\nGuide data scientists, senior data scientists, and staff data scientists across multiple sub-domains to ensure on-time delivery of ML products.\nDrive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability, and multi-tenancy.\nLead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.\nDrive synergies across different products in terms of algorithmic innovation and sharing of best practices.\nProactively identify complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain.\nEvaluate proposed business cases for projects and initiatives.\nTranslate business requirements into strategies, initiatives, and projects, align them with business strategy and objectives, and drive the execution of deliverables.\nSet relevant deliverables based on established success criteria and define key metrics to measure progress and effectiveness of the solution.\nQuantify business impact and ensure regular impact measurement of all ML products in the domain.\nIdentify and review model evaluation metrics based on analytical requirements.\nEnsure testing information is documented and maintained by the team.\nPlay a key role in solving complex problems pivotal to Walmarts business and driving actionable insights.\nUtilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping.\nDemonstrate an incremental solution approach with agile and flexible ability to overcome practical problems.\nArticulate and present recommendations to business partners and influence plans based on insights.\nPartner and engage with associates in other regions to deliver the best services to customers around the globe.\nWork with a customer-centric mindset to deliver high-quality business-driven analytic solutions.\nDrive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving.\nProactively engage in the external community to build Walmarts brand and learn more about industry practices.\nPromote and support company policies, procedures, mission, values, and standards of ethics and integrity.\nWhat You Will Bring: \nBachelors, Masters, or Ph.D. with 10-15 years of relevant experience. Educational qualifications should be in Computer Science, Statistics, Mathematics, or a related area.\nMinimum 10 years of experience as a data science technical lead.\nAbility to drive projects from conception to production in a fast-paced, dynamic environment.\nExcellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.\nDeep experience in building data science solutions in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment, and price optimization.\nDeep experience in simultaneously leading multiple data science initiatives end-to-end from translating business needs to analytical asks, leading the process of building solutions, and the eventual act of deployment and maintenance of them.\nStrong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning, experimentation, and Gen-AI.\nIn Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from vector databases, setup and provisioning of managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model selection, iterative prompt engineering and fine-tuning based on accuracy and user feedback, monitoring, and governance.\nAbility to scale and deploy data science solutions.\nStrong experience with one or more of Python and R.\nExperience in GCP/Azure.\nStrong experience in Python, Py Spark, Google Cloud Platform, Vertex AI, Kubeflow, model deployment.\nStrong experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala).\nExperience with GPU/CUDA for computational efficiency.\nBenefits :\nBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.\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.\nSunnyvale, California US-11807: The annual salary range for this position is $143,000.00 - $286,000.00\nBellevue, Washington US-11663 | Hoboken, New Jersey US-10279: The annual salary range for this position is $132,000.00 - $264,000.00\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...\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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