
Posted a day ago
Data Scientist
HPData Scientist
Requirements
Advanced SQL, Advanced Python, Data engineering experience, Analytics experience, Dashboard and metrics building, Distributed data processing frameworks
Skills
SQLPythonData EngineeringData Analysis
About the role
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.
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