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