{"id":3167816,"url":"https://alion.io/job/walmart-usa-staff-data-scientist-4","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":329,"ghost_share":0,"stale_share":0.103,"repost_share":0.003,"time_to_fill_p50_days":6,"computed_at":"2026-10-25T05:49:26Z"}},"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":98000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":437},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Function Calling","optional":false},{"name":"Google ADK","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"LangChain","optional":true},{"name":"Scala","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T08:51:36Z","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...\nStaff Data Scientist\nAbout the team:\nOur Finance Technology team builds intelligent solutions supporting Accounts Payable (AP), Post Payment Audit (PPA), and Cerebro. We combine data science, data engineering, software engineering, and business expertise to identify financial anomalies, uncover root causes, improve audit effectiveness, and automate financial decision-making. Our goal is to transform large-scale financial and operational data into actionable intelligence and measurable business outcomes. \nPosition Summary \nWe are seeking a hands-on Staff Data Scientist with strong experience in machine learning, Generative AI, and production AI systems. This person will design and deliver scalable ML and agentic AI solutions across Accounts Payable, Post Payment Audit, and financial analytics. \nThe role combines advanced applied ML, including supervised and unsupervised learning, with reliable LLM applications and agentic workflows. The successful candidate will take complex business problems from data exploration and experimentation through production deployment and measurable business impact. \nWhat You’ll Do \nDesign, build, and deploy production scale ML and AI solutions for complex Finance problems across invoices, claims, payments, and audit data.\nDevelop and evaluate supervised and unsupervised models, including anomaly detection, classification, clustering, ranking, prediction, and statistical methods.\nBuild root cause analysis, signal correlation, and explainability techniques for financial anomalies, exceptions, and audit findings.\nBuild LLM applications, RAG experiences, tool calling workflows, and reliable agentic systems, including single agent and multi agent workflows where appropriate, that safely use approved knowledge, data, and analytical capabilities.\nDevelop evaluation approaches for ML and agentic AI systems, including model performance, task completion, groundedness, tool use accuracy, safety, and failure behavior.\nPartner with Data Engineering and Software Engineering to productionize, monitor, explain, retrain, and maintain ML and AI solutions.\nContribute to technical design, reusable implementation patterns, and documentation for ML and AI solutions.\nCommunicate analytical findings, model behavior, and business impact clearly to technical and business stakeholders.\n\nWhat You’ll Bring \nStrong hands-on experience in data science, machine learning, statistical modeling, and applied AI.\nExperience building and deploying supervised and unsupervised ML solutions, including anomaly detection, classification, clustering, feature engineering, experimentation, model evaluation, and explainability.\nExperience developing production ML solutions, including data preparation, feature engineering, training, batch scoring or serving, monitoring, and feedback loops.\nExperience with LLMs, RAG, semantic retrieval, vector databases, hybrid keyword and semantic search, reranking, structured outputs, tool integration, and agentic workflows.\n Experience with agent orchestration frameworks such as LangGraph, Google ADK, or equivalent, including tool integration, workflow state, and evaluation.\n Experience connecting AI applications to enterprise tools, data, and services through MCP or comparable tool integration patterns.\nExperience evaluating AI systems for quality, groundedness, reliability, and safe behavior.\nAdvanced Python and SQL skills, with experience using modern ML frameworks and large scale transactional, financial, or operational datasets.\nFamiliarity with MLOps practices, cloud-based ML and AI platforms, and production deployment patterns.\nStrong problem-solving skills and the ability to translate complex business problems into scalable analytical solutions.\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 $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...\n2914 Se I St, Bentonville, AR 72712-3148, 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":7465,"description_truncated":false,"requirements":{"experience_years_min":6,"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","Marketplaces","Retail & Shop Systems","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-10-23T17:47:03Z"}],"visa":[],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.868,"p_room":0.9,"age_days":3,"expected_fill_days":6,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/walmart-usa-staff-data-scientist-4","json_url":"https://alion.io/job/walmart-usa-staff-data-scientist-4.json","meta":{"generated_at":"2026-10-25T08:54:17Z","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":12712,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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-staff-data-scientist-4"},{"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-staff-data-scientist-4"},{"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-staff-data-scientist-4"},{"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-staff-data-scientist-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwalmart-usa-staff-data-scientist-4"}]}