{"id":3773136,"url":"https://alion.io/job/ust-data-scientist-2","title":"Data Scientist","company":{"id":1774626,"name":"UST","domain":"ust.com","url":"https://alion.io/company/ust-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":76,"open_postings":101,"ghost_share":0,"stale_share":0.97,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"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":{"min":98000,"max":147000,"currency":"USD","period":"year","gross":null,"usd_annual":147000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prophet","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-04T22:17:26Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T22:21:50Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data Scientist\nThe Role\nUST is seeking an experienced Data Scientist to develop advanced analytics solutions that identify sales anomalies, uncover business insights, and generate actionable recommendations for merchants. The ideal candidate will leverage machine learning, statistical modeling, and data science techniques to detect unusual sales patterns, understand drivers behind sales fluctuations, and provide prescriptive guidance on what merchants should do next to improve performance, revenue, and customer engagement.\nWhat You’ll Do\nDesign and implement models to identify abnormal sales behavior across merchants, categories, products, and regions.\nDevelop real-time and batch anomaly detection frameworks to detect revenue spikes and drops, sales trend deviations, inventory-related anomalies, pricing irregularities, promotion performance anomalies, and seasonal pattern deviations.\nMonitor merchant performance and proactively flag risks and opportunities.\nThis position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.\nWhat You Need\nRequired\n3+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related roles.\nStrong experience with Python, SQL, Pandas, NumPy or Scikit-learn, PySpark, and statistical analysis techniques.\nExperience developing anomaly detection models using Isolation Forest, Autoencoders, time series models, Prophet, ARIMA, and clustering algorithms.\nStrong understanding of A/B testing and experimental design.\n• Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.\nPreferred\nExperience in retail, eCommerce, marketplace, merchant analytics, or consumer analytics.\nKnowledge of recommendation systems and decision intelligence platforms.\nExperience working with cloud platform GCP.\nExperience with AI/ML platforms and MLOps frameworks.\n• Familiarity with Generative AI and Agentic AI solutions.\nKey Skills\nData Science & Machine Learning, Predictive Modeling, Time Series Forecasting, Anomaly Detection, Recommendation Systems, Statistical Modeling, Feature Engineering, Deep Learning\nLocation & Compensation\nCompensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.\nRole Location: Bentonville, Arkansas\nCompensation Range: $98000 - $147000\nWho We Are\nSince 1999, UST has worked side by side with the world’s best companies to make a powerful impact through transformation. Headquartered in the United States, UST is powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients’ organizations-delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact-touching billions of lives in the process. Visit us at .\nBenefits\nFull-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.\nPart-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.\nFull-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.\nPart-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).\nAll US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.\nAs part of our recruitment process, UST may use AI or automated tools to support activities such as application screening, scheduling, or interview assistance. All hiring decisions are made by our recruitment team. Where applicable law requires it, further notice will be provided separately.\nEqual Employment Opportunity Statement\nUST is an Equal Opportunity Employer.\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.\nUST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.","description_format":"text","description_chars":6165,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-11-04T22:17:26Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":34,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":147000,"is_top_pay":true},"html_url":"https://alion.io/job/ust-data-scientist-2","json_url":"https://alion.io/job/ust-data-scientist-2.json","meta":{"generated_at":"2026-11-06T23:41:14Z","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":3501,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":1774626},"rest":"https://alion.io/mcp/rest/get_company?id=1774626"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fust-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%2Fust-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%2Fust-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/ust-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fust-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3773136}},{"tool":"search_jobs","arguments":{"company":"ust.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3773136},"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. 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