Senior Data Scientist

Location: Bengaluru

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/Tensor Flow), 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