Demand Forecasting Data Scientist

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.

Technical Skills 5 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.