Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
About the role
- Data Scientist applying machine learning and statistical models for HP's Enterprise Planning & Analytics team. Leading diverse data projects focused on demand planning and forecasting.
Responsibilities
- Leverages structured and unstructured data to build and deploy machine learning or statistical models.
- Partners with senior stakeholders to assess, develop and position data science projects in order to deliver value to the organization.
- Navigates complex data and business processes in order to build end-to-end solutions.
- Can engage in multiple projects while coordinating the efforts of other team members within the context of each project.
- Can manage all data science aspects of a project - often partnering with project management professionals as part of broader, company-wide engagements.
Requirements
- Recommended Bachelor's, Master's in Mathematics, Economics, Physics, Computer Science, or equivalent.
- Typically 3-6 years’ experience including graduate or postgraduate research.
- Expert level proficiency working with Python and SQL; experience in software development a plus.
- Experience in designing and deploying GenAI and agentic AI solutions.
- Ability to engage with stakeholders in order to transform problem statements to ensure value delivery.
Benefits
- 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).
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