Job Title: Demand Forecasting Data Scientist Experience:

6+ Years Location:

Bangalore Job Summary We are seeking an experienced

Demand Forecasting Data Scientist

with strong expertise in

time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with

Databricks and Python , a deep understanding of demand planning use cases, and the ability to deliver scalable, production-ready forecasting solutions. This role requires a sharp analytical mindset, fast learning ability, and strong collaboration skills.

Key Responsibilities Design, develop, and deploy

demand forecasting models

using time series, machine learning, and deep learning techniques. Build end-to-end forecasting pipelines on

Databricks

leveraging distributed computing and scalable architectures. Apply statistical and ML techniques such as

ARIMA/SARIMA, Prophet, XGBoost, Random Forest, LSTM, GRU ,

TimeGPT

and hybrid models. Collaborate closely with

supply chain, demand planning, and business stakeholders

to translate business problems into analytical solutions and should be a able to full ownership. Perform feature engineering using internal and external drivers (promotions, seasonality, holidays, weather, etc.). Evaluate and improve forecast accuracy using appropriate metrics (MAPE, wMAPE, Bias). Optimize models for performance, scalability, and interpretability in production environments. Conduct exploratory data analysis and present actionable insights to both technical and non-technical audiences. Contribute to best practices in coding, model governance, documentation, and MLOps workflows. Mentor junior team members and actively participate as a





robust team player

in cross-functional initiatives.

Required Skills & Qualifications Technical Skills 6 years of experience

as a Data Scientist with a strong focus on

demand forecasting or supply chain analytics . Strong hands-on experience with

Python

and its associated libraries: NumPy, Pandas, SciPy scikit-learn statsmodels TensorFlow / PyTorch (for DL models) Solid experience with

Time Series Forecasting

techniques and real-world demand planning use cases. Hands-on experience with

Databricks , including Spark, notebooks, and distributed data processing. Practical exposure to

Machine Learning and Deep Learning

model development and deployment. Experience working with large, complex datasets in cloud-based or big data environments. Practical understanding of

Nixtla

library is a plus. Experience with

MLOps , model monitoring, and CI/CD pipelines. Domain Knowledge Strong

Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales forecasting. Understanding of forecast lifecycle, demand variability, and business constraints.

Soft Skills & Competencies Sharp analytical mindset

with strong problem-solving skills. Ability to

pick up new concepts and tools quickly

in a fast-paced setting. Strong communication skills with the ability to explain complex models in simple terms. Highly collaborative with a

strong team-player attitude . Proactive, self-driven, and ownership-oriented approach to work.

Preferred (Good to Have) Exposure to cloud platforms (Azure / AWS / GCP). Experience working in Agile or cross-functional delivery teams. Prior experience in retail, CPG, manufacturing, or e-commerce domains.

📌 Demand Forecasting Data Scientist (Mumbai)
🏢 Artech
📍 Mumbai