Data Science Lead - Demand Forecasting

Job Title: Data Science Lead - Demand Forecasting Type of Engagement: Full-Time Location: USA (Remote) Responsibilities Lead multiple Data Science and AI consulting projects from solution design through production delivery. Build scalable ML/AI models with a focus on Demand Forecasting and Retail analytics . Partner with business stakeholders to translate business problems into data-driven solutions. Lead and mentor Data Science teams, supporting career growth and technical excellence. Present insights, recommendations, and business impact to client leadership. Collaborate with onsite and offshore teams to ensure timely, high-quality project delivery. Build production-ready ML pipelines, deploy models, and monitor model performance. Drive innovation through AI research, advanced analytics, and organizational initiatives. Required Skills 8–20 years of Data Science and Machine Learning experience. Expertise in Demand Forecasting (Mandatory). Retail domain experience preferred. Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Deep Learning, NLP, Computer Vision, Recommender Systems, Bayesian Modeling, Reinforcement Learning, and Graph Networks. Python, SQL, R, Spark. TensorFlow, PyTorch, Keras. Statistical Modeling, Hypothesis Testing, A/B Testing, and Experimental Design. AWS, Azure, or GCP. ML Deployment, MLOps, and CI/CD Pipelines. Strong leadership, stakeholder management, and client-facing communication skills.

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