Senior Data Scientist

ORMAE; Bengaluru; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Opportunity to work on diverse projects

Hands-on exposure to enterprise-grade tools

Accelerated career growth in a collaborative setup

Résumé du poste

ORMAE, a fast-growing consulting firm in Bengaluru, seeks a Data Scientist with 2-3 years of experience. The ideal candidate will lead projects from data exploration to deployment, specializing in advanced forecasting techniques and large-scale analytics in a consulting environment. Key responsibilities include designing forecasting models, developing data pipelines, and collaborating with cross-functional teams. This role offers diverse projects and career growth in a dynamic, non-hierarchical setting.

Qualifications

• About 2-3 years of experience in data science or related fields.
• Strong expertise in large-scale analytics and forecasting.
• Hands-on experience with cloud platforms.
• Comfortable working in a fast-paced consulting environment.

Responsabilités

• Design and implement advanced forecasting models.
• Develop scalable data processing pipelines using Python and Spark.
• Deploy and monitor forecasting solutions on cloud platforms.
• Collaborate with cross-functional teams to integrate analytical findings.

Connaissances

Forecasting techniques: ARIMA, ETS, Prophet, ML-based forecasting

Handling large-scale time series datasets

Building adaptive forecasting systems

Distributed computing using Spark

Programming in Python

Cloud platforms (Azure or AWS)

Analytical mindset

Client-facing communication skills

Outils

Power BI

Python (pandas, numpy, scikit-learn)

SQL

PyTorch/TensorFlow

Description du poste

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