Senior Data Scientist

About Us

ORMAE 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 Responsibilities

• Design 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 Skills

• Strong 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 Have

• Experience 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 Us

• Opportunity to work on diverse forecasting, analytics, and GenAI automation projects
• Small, high-talent team where your work directly impacts client outcomes
• Hands-on exposure to enterprise-grade forecasting systems and LLM-powered tools
• Ownership, learning, and accelerated career growth in a collaborative, non-hierarchical setup