Data Scientist

• Job Title: Data Scientist – Demand Forecasting
• Location: Remote (U.S.)
• Employment Type: Full-Time

• Job Summar
• yWe are seeking an experienced Data Scientist with expertise in Demand Forecasting, predictive analytics, and machine learning to develop scalable forecasting models that improve supply chain planning, inventory optimization, and business decision-making. The ideal candidate will have a strong background in time-series forecasting, statistical modeling, and production-grade ML solutions
• .Required Experienc
• e7+ years of experience in Data Science, Machine Learning, or Advanced Analytic
• s3+ years of hands-on experience in Demand Forecasting or Supply Chain Analytic
• sExperience building enterprise-scale forecasting models for retail, manufacturing, CPG, healthcare, or eCommerc
• eExperience deploying ML models into production environment
• sRequired Skill
• sPython (Pandas, NumPy, Scikit-learn
• )SQ
• LTime Series Forecastin
• gStatistical Modelin
• gMachine Learning Algorithm
• sFeature Engineerin
• gForecast Accuracy Optimizatio
• nData Visualization (Power BI, Tableau, or Looker
• )Gi
• tCloud Platforms (AWS, Azure, or GCP
• )Preferred Forecasting Technologie
• sProphe
• tARIMA / SARIM
• AXGBoos
• tLightGB
• MCatBoos
• tLSTM / Deep Learnin
• gDemand Planning & Inventory Optimizatio
• nForecast Reconciliatio
• nBayesian Forecasting (Preferred
• )Responsibilitie
• sDesign and implement demand forecasting models for short-, medium-, and long-term planning
• .Analyze historical sales, seasonality, promotions, pricing, and external factors affecting demand
• .Develop machine learning models to improve forecast accuracy
• .Build scalable forecasting pipelines and automate model retraining
• .Partner with Supply Chain, Operations, Finance, and Product teams to support planning decisions
• .Monitor model performance and continuously improve forecasting accuracy
• .Perform statistical analysis, feature engineering, and model validation
• .Create dashboards and communicate forecasting insights to business stakeholders
• .Deploy and maintain production-ready ML models
• .Preferred Qualification
• sMaster's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related fiel
• dExperience with MLOps pipeline
• sKnowledge of inventory optimization and supply chain plannin
• gExperience with Spark or Databricks is a plu
• sStrong communication and stakeholder management skill

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