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 solid 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 strong 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
📌 Demand Forecasting Data Scientist (India)
🏢 Artech
📍 India