Senior Data Scientist at ORMAE

Job Description:

Latest job information from ORMAE for the position of Senior Data Scientist. If the Senior Data Scientist vacancy in India matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at ORMAE for the position of Senior Data Scientist below matches your qualifications.

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

Job Info:

• Company: ORMAE
• Position: Senior Data Scientist
• Work Location: India
• Country: IN

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Senior Data Scientist at the office India above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.