{"id":1482987,"url":"https://alion.io/job/cardinal-health-data-scientist-operations-research","title":"Data Scientist, Operations Research","company":{"id":1779154,"name":"Cardinal Health","domain":"cardinalhealth.com","url":"https://alion.io/company/cardinalhealth-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":24,"ghost_share":0,"stale_share":0.583,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":115000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":376},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-29T21:50:03Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-11-01T10:08:53Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"What Data Science contributes to Cardinal Health\nThe Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.\nDepartment/Team Overview\nWe are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain’s performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:\nDistribution center network design and capacity planning\nFacility layout and design; warehouse capacity and utilization\nWarehouse process improvement\nLabor management and automation\nInventory management: stocking strategies and replenishment policies\nTransportation planning: first mile, middle mile, and final mile\nSales and operations planning (resource management in response to demand changes)\nResponsibilities\nAs a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:\nListen to clients and ask questions to clearly define business problems.\nPerform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.\nDevelop predictive models to forecast future volumes that will drive capacity/resource needs.\nDevelop customer and product segmentation models and design our supply chain to support differentiated services.\nBuild optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.\nDevelop prescriptive models using 3rd party optimization/simulation software and custom-build models.\nRecommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.\nWork with Data Engineers to create data models for analyses.\nQualifications\n2-4 years of experience, preferred\nBachelor's degree in a quantitative field, or equivalent work experience, preferred\nMS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred\nDemonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred\nExperience with Structured Query Language (SQL) and working with databases preferred \nExperience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred\nExperience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred \nAbility to work as part of a team as the key analytical resource\nExcellent communication skills with an ability to explain quantitative analysis in simple business terms\nIntellectual curiosity, humility, genuine respect and desire to help others\nBias for action and passion for driving change\nAbility to travel up to 5% \nWhat is expected of you and others at this level\nApplies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects\nMay contribute to the development of policies and procedures\nWorks on complex projects of large scope\nDevelops technical solutions to a wide range of difficult problems\nSolutions are innovative and consistent with organization objectives\nCompletes work; independently receives general guidance on new projects\nWork reviewed for purpose of meeting objectives\nMay act as a mentor to less experienced colleagues\nAnticipated salary range: $94,900 - $122,000\nBonus eligible: No\nBenefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.\nMedical, dental and vision coverage\nPaid time off plan\nHealth savings account (HSA)\n401k savings plan\nAccess to wages before pay day with myFlexPay\nFlexible spending accounts (FSAs)\nShort- and long-term disability coverage\nWork-Life resources\nPaid parental leave\nHealthy lifestyle programs\nApplication window anticipated to close: 11/2/2026 *if interested in opportunity, please submit application as soon as possible.\nThe salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.\nCardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.\nTo read and review this privacy notice click here","description_format":"text","description_chars":6236,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Engineering","Pharmaceutical Distribution","Medical Supplies & Consumables","Medical Equipment Distribution"],"lifecycle":[{"event":"open","at":"2026-09-29T21:50:03Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 169 · green card filings: 45","filings_12m":169,"filings_prev_12m":105,"green_card_filings_12m":45,"median_offered_wage_usd":125654,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":17}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.478,"p_room":0.44,"age_days":32,"expected_fill_days":26,"reasons":["conf:9","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/cardinal-health-data-scientist-operations-research","json_url":"https://alion.io/job/cardinal-health-data-scientist-operations-research.json","meta":{"generated_at":"2026-11-01T12:57:51Z","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":19996,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":1779154},"rest":"https://alion.io/mcp/rest/get_company?id=1779154"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcardinal-health-data-scientist-operations-research"},{"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%2Fcardinal-health-data-scientist-operations-research"},{"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%2Fcardinal-health-data-scientist-operations-research"},{"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/cardinal-health-data-scientist-operations-research\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcardinal-health-data-scientist-operations-research"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1482987}},{"tool":"search_jobs","arguments":{"company":"cardinalhealth.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1482987},"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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