About UsORMAE is a fast-growing consulting firm specializing in Data Science, Optimization, and GenAI solutions across industries. Founded and led by Amit Garg, who holds a Guinness World Record in Mathematics and a PhD in Operations Research, ORMAE excels in delivering cutting-edge solutions at the intersection of technology and business. We are now looking for a hands-on Data Scientist with about 2-3 years of experience who can lead projects end-to-end — from data exploration to scalable deployment — with strong expertise in forecasting, large-scale analytics and adaptive learning systems.Key ResponsibilitiesDesign and implement advanced forecasting models (statistical, ML, and DL) for large-scale datasets, including multi-SKU, multi-location, and multi-horizon forecasting.Work on complex supply chain datasets covering demand planning, inventory movement, lead times, seasonality, promotions, and external drivers.Build and maintain feedback-loop mechanisms with planners (model overrides, adjustments, bias monitoring) to create adaptive and continuously learning forecasting systems.Develop scalable data processing pipelines using Python and Spark (or other distributed frameworks) to efficiently handle millions of records.Deploy and monitor forecasting solutions on Azure or AWS, ensuring reproducibility, version control, and observability of model performance.Collaborate with Power BI experts to integrate model outputs into reports and dashboards for planners and business stakeholders.Communicate analytical findings clearly with cross-functional teams, including operations, consulting, and leadership.Required SkillsStrong expertise in forecasting techniques: ARIMA, ETS, Prophet, ML-based forecasting, hierarchical forecasting, and causal models.Proven experience handling large-scale time series datasets (multi-SKU, multi-region, millions of rows).Hands-on experience building adaptive forecasting systems, including planner overrides, backtesting, auto-retraining, and performance KPIs (MAE, MAPE, Bias).Proficiency in distributed computing using Spark (PySpark preferred) or equivalent frameworks.Strong programming skills in Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow) and SQL.Experience with cloud platforms (Azure or AWS) for model deployment, storage, and CI/CD.Strong analytical mindset with the ability to translate complex supply chain and business problems into effective ML solutions.Comfort working in a lean, fast-paced, high-ownership consulting environment.Good to HaveExperience with Power BI or other visualization tools.Exposure to Operations Research or optimization problems.MLOps experience, including model monitoring, drift detection, and automated retraining.Prior consulting experience or strong client-facing communication skills.Why Join UsOpportunity to work on diverse forecasting, analytics, and GenAI automation projectsSmall, high-talent team where your work directly impacts client outcomesHands-on exposure to enterprise-grade forecasting systems and LLM-powered toolsOwnership, learning, and accelerated career growth in a collaborative, non-hierarchical setup
Job Title
Senior Data Scientist