Senior Data Scientist

About the job

About Us We are a fast-growing consulting firm specializing in Data Science, Optimization, and GenAI solutions across industries. We are now looking for a hands-on Senior Data Scientist with 5+ 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, DL) for large-scale datasets, including multi-SKU, multi-location, and multi-horizon forecasting. • Work on complex supply chain datasets, including 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 ensure adaptive, continuously learning forecasting systems. • Develop scalable data processing pipelines using Python and Spark / distributed frameworks to manage millions of records efficiently. • Build NLP components (classification, extraction, embeddings) for analytics use cases where required. • Contribute to building and integrating LLM-powered tools (prompting, retrieval, light agent workflows) for automation. • Deploy and monitor 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. • Contribute to internal accelerators and reusable frameworks for forecasting, MLOps, and cloud-based analytics. • Communicate analytical findings clearly with cross-functional teams — including operations, consulting, and leadership. Required Skills • Forecasting : ARIMA, ETS, Prophet, ML-based forecasting, hierarchical forecasting, causal models • Proven experience handling large-scale time series datasets (multi-SKU, multi-region, millions of rows). • Experience building adaptive / continuous learning forecasting systems, including planner overrides, backtesting, auto-retraining, and KPIs (MAE / MAPE / Bias). • Distributed Computing : Spark (PySpark preferred) or equivalent frameworks for scaling pipelines. • Programming : Python (pandas, numpy, scikit-learn, PyTorch / TensorFlow), SQL • NLP (Foundational) : embeddings, transformers, basic extraction / classification (deep expertise not required) • LLM Tools : Basic prompt engineering and retrieval-based systems (nice-to-have) • Deployment : Docker, FastAPI / Streamlit, MLflow (preferred) • Cloud : Azure or AWS experience (model deployment, storage, CI / CD) • Strong analytical mindset with the ability to translate real supply chain / business problems into 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 Ops Research / Optimization problems • MLOps experience : monitoring, model drift detection, 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.

Requirements

• Forecasting
• Data Processing
• Python
• Spark
• NLP

Preferred Technologies

• Forecasting
• Data Processing
• Python
• Spark
• NLP

About the company

We are a fast-growing consulting firm specializing in Data Science, Optimization, and GenAI solutions across industries.