TELECOMMUTE Data Scientist ( Demand Forecasting

We 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., Preferred Forecasting Technologies

• Prophet
• ARIMA / SARIMA
• XGBoost
• LightGBM
• CatBoost
• LSTM / Deep Learning
• Demand Planning & Inventory Optimization
• Forecast Reconciliation
• Bayesian Forecasting (Preferred)

Responsibilities

• Design 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.

• 7+ years of experience in Data Science, Machine Learning, or Advanced Analytics
• 3+ years of hands-on experience in Demand Forecasting or Supply Chain Analytics
• Experience building enterprise-scale forecasting models for retail, manufacturing, CPG, healthcare, or eCommerce
• Experience deploying ML models into production environments

Required Skills

• Python (Pandas, NumPy, Scikit-learn)
• SQL
• Time Series Forecasting
• Statistical Modeling
• Machine Learning Algorithms
• Feature Engineering
• Forecast Accuracy Optimization
• Data Visualization (Power BI, Tableau, or Looker)
• Git
• Cloud Platforms (AWS, Azure, or Google Cloud Platform), * Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field
• Experience with MLOps pipelines
• Knowledge of inventory optimization and supply chain planning
• Experience with Spark or Databricks is a plus
• Strong communication and stakeholder management skills