Data Scientist / Data Modeler - Supply Chain & Demand Planning
3 days ago
Cincinnati
Job Title: Data Scientist / Data Modeler – Supply Chain & Demand Planning \n Location: Hybrid (3 Days Onsite/Week) \n Employment Type: Contract-to-Hire \n Experience: 1–3 Years \n Industry Preference: Consumer Packaged Goods (CPG), Manufacturing, Supply Chain, Distribution \n \n \n Job Summar \n yWe are seeking a Data Scientist / Data Modeler to support demand planning and supply chain optimization initiatives through forecasting, predictive analytics, and data modeling. This role will focus on improving forecast accuracy, developing statistical and machine learning models, organizing and cleansing data, and delivering actionable insights that drive business decisions \n .This is an excellent opportunity for an early-career professional looking to apply data science in a real-world supply chain environment while working closely with Demand Planning, Supply Chain, Operations, and IT teams \n .Key Responsibilitie \n sDemand Planning & Forecastin \n\n • gDevelop, maintain, and enhance statistical forecasting models\n, • .Generate and manage baseline demand forecasts\n, • .Analyze historical sales, inventory, shipment, and operational data to identify trends and improve forecast performance\n, • .Monitor forecasting KPIs including\n, • :Forecast Accuracy (MAPE\n, • )Forecast Bia\n, • sForecast Value Add (FVA\n, • )Support long-range demand planning, demand sensing, and demand shaping initiatives\n\n \n . \n Required Qualificatio \n\n • nsBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Supply Chain, Industrial Engineering, or a related fiel\n, • d.1–3 years of experience in one or more of the followin\n, • g:Data Scien\n, • ceData Modeli\n, • ngDemand Planning Analyti\n, • csForecasting Analyti\n, • csSupply Chain Analyti\n, • csStrong SQL skills and experience working with large dataset\n, • s.Knowledge of statistical forecasting methodologie\n, • s.Strong analytical, quantitative, and problem-solving skill\n, • s.Excellent communication and presentation abilitie\n, • s.Ability to translate technical findings into business recommendation\n\n \n s. \n Preferred Qualificati \n\n • onsExperience supporting Demand Planning, Supply Planning, Inventory Planning, or Forecasti\n, • ng.Background in CPG, Manufacturing, Distribution, or Supply Chain industri\n, • es.Exposure to S&OP, S&OE, or Integrated Business Planning (IB\n, • P).Experience with one or more planning platfor\n, • ms:SAP\n, • IBPSAP\n, • APOBlue Yon\n, • der\n, • OMPArki\n, • evaOther Supply Chain Planning Soluti\n, • onsExperience with Python, Databricks, Machine Learning, or Advanced Analyti\n, • cs.Knowledge of demand sensing, demand shaping, and forecasting algorith\n\n ms.Must-Have Ski \n\n • llsData Scie\n, • nceData Model\n, • ingSupply Chain Analyt\n, • icsDemand Plann\n, • ingForecast\n, • ingStatistical Model\n, • ing\n, • SQLPredictive Analyt\n, • icsMachine Learn\n, • ingData Cleansing & Validat\n, • ionForecast Accuracy (MA\n, • PE)Forecast B\n, • iasForecast Value Add (F\n, • VA)Business Analyt\n, • icsData Visualizat\n, • ionCross-functional Collaborat\n\n ionNice-to-Have Ski \n\n • llsPyt\n, • honDatabri\n, • cksSAP\n, • IBPSAP\n, • APOBlue Yon\n, • der\n, • OMPArki\n, • evaS&\n, • ;OPS&\n, • ;OEIntegrated Business Planning (I\n, • BP)Consumer Packaged Goods (C\n, • PG)Manufactur\n, • ingInventory Plann\n, • ingMaster Data Managem\n\n ent