Data Scientist

Data Scientist Description - Job Description Inventory Data Engineering & Analytics (IDEA) Data Engineer The position bridges data engineering, advanced analytics, and business partnership to enable high-impact inventory decisions. Key Responsibilities Design, build, and maintain scalable inventory data pipelines and curated datasets supporting forecasting, planning, and execution. • Partner with senior IDEA leaders to translate inventory and supply chain problems into analytical and data engineering solutions. • Develop and productionize analytical models (forecasting, segmentation, root-cause analysis) used by planning and operations teams. • Ensure data quality, reliability, and observability across inventory datasets and reporting layers. • Contribute to architectural decisions for data platforms, tooling, and standards within IDEA. • Mentor analysts and engineers on best practices in SQL, Python, and analytical problem solving. Collaboration & Influence • Work closely with stakeholders across Supply Chain, Finance, and Operations to drive data-informed inventory decisions. • Act as a technical and analytical partner to senior IDEA contributors, supporting roadmap definition and delivery. • Communicate complex analytical findings clearly to both technical and non-technical audiences. Required Qualifications • Strong experience in data engineering and analytics roles, preferably in inventory or supply chain domains. • Advanced SQL and Python skills; experience with distributed data processing frameworks is preferred. • Proven ability to move from ambiguous business questions to well-structured data solutions. • Experience building dashboards, metrics, and analytical assets used by business teams. • Strong ownership mindset with the ability to operate independently while collaborating closely with senior leaders. Preferred Attributes • Experience supporting forecasting, replenishment, or inventory optimization use cases. • Familiarity with modern data stack tools and cloud-based data platforms. • Demonstrated impact through delivery of end-to-end data or analytics products. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (Mexico) Travel - Relocation - Equal Opportunity Employer (EEO) \- HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"