Data Scientist

About the role

We are looking for a hands-on Data Scientist to strengthen our analytics pipelines that support planning, forecasting, and inventory optimization across the HP supply chain network. This role bridges data science modeling and analytics operations, ensuring that analytical work moves smoothly from exploration to deployment and supports better planning and decision making.

What you'll do

• Build and maintain reproducible analytical workflows in Databricks using Python, PySpark, and MLflow
• Apply feature engineering best practices, including lag features, rolling averages, and proper handling of data cutoffs
• Translate prototypes into parameterized, reusable code that supports weekly or monthly production runs
• Develop and evaluate models for short-term forecasting, attach rate tracking, and inventory buffer analysis
• Link model outputs to business metrics such as forecast accuracy, bias, and service level

What you need

• 1–3 years in data science & ai
• Python
• SQL
• Pandas
• Scikit-learn
• Databricks
• MLOps
• Any graduate

Good to have

• Power BI
• Spark
• ETL
• Git
• Prototyping