Data Scientist

Responsibilities

• Design, build, and maintain scalable inventory data pipelines and curated datasets to support forecasting and planning.
• Partner with senior leaders to translate supply chain challenges into analytical and data engineering solutions.
• Develop and productionize analytical models, including forecasting, segmentation, and root-cause analysis.
• Ensure data quality, reliability, and observability across all inventory datasets and reporting layers.
• Contribute to architectural decisions regarding data platforms, tooling, and standards.
• Mentor analysts and engineers on best practices in SQL, Python, and analytical problem-solving.
• Collaborate with stakeholders in Supply Chain, Finance, and Operations to drive data-informed decisions.

Requirements

• Strong experience in data engineering and analytics roles, ideally within inventory or supply chain domains.
• Advanced proficiency in SQL and Python.
• Experience building dashboards, metrics, and analytical assets for business teams.
• Proven ability to transform ambiguous business questions into structured data solutions.
• Experience with distributed data processing frameworks.

Preferred Qualifications

• Experience supporting forecasting, replenishment, or inventory optimization use cases.
• Familiarity with modern data stack tools and cloud-based data platforms.
• Demonstrated track record of delivering end-to-end data or analytics products.

About the Company

HP is a global technology leader dedicated to creating meaningful innovation. We believe in the power of collective accomplishment and strive to build a future where technology helps reshape the way the world works for the better.