# Data Scientist at Hewlett Packard Enterprise

Hewlett Packard Enterprise is hiring a Data Scientist. Level rates it Little AI ●○○○; you can [apply on Hewlett Packard Enterprise](https://jobsbylevel.com/go/1e6f6185-49ba-4af7-923d-2302e03ad717?utm_medium=ai-agent).

AI Level 1, AI centrality 6 out of 100. Heredia, Heredia, Costa Rica.

## Details

- Company: [Hewlett Packard Enterprise](https://jobsbylevel.com/companies/hewlett-packard-enterprise)
- AI level: AI Level 1 (score 6 out of 100)
- Location: Heredia, Heredia, Costa Rica
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/1e6f6185-49ba-4af7-923d-2302e03ad717?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-scientist-at-hewlett-packard-enterprise-1aa3a1

## Description

Data Scientist This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Job Family Definition Embeds analytics and data-driven decision making into business processes and operational workflows. Combines business acumen, statistical methods, machine learning techniques, and data visualization to solve complex business problems and generate actionable insights. Designs, develops, and implements analytics solutions using structured and unstructured data. Builds dashboards, reports, predictive models, and statistical analyses that support operational excellence, customer experience improvements, strategic planning, and business decision-making. Uses modern visualization tools such as Power BI to translate analytic findings into compelling business stories and recommendations for technical and non-technical stakeholders. In a typical day as a Data Scientist, you would... Participates in the analysis, validation, and interpretation of data sets, analytics solutions, and user requirements. Collects, cleans, transforms, and validates data from multiple sources to support reporting, analytics, and machine learning initiatives. Develops interactive dashboards, reports, and visualizations using Power BI and other analytics tools to provide business insights and performance monitoring. Performs exploratory data analysis, statistical analysis, segmentation studies, trend analysis, and hypothesis testing to identify improvement opportunities and business drivers. Supports the development, testing, and deployment of predictive and machine learning models for business applications including forecasting, classification, customer behavior analysis, and operational optimization. Collaborates with cross-functional stakeholders to understand business requirements and translate them into data-driven solutions and recommendations. Participates in data engineering and automation activities including data preparation, ETL processes, and development of repeatable analytics workflows. Supports the research, identification, and delivery of innovative analytics and data science solutions to business challenges. Communicates findings, recommendations, and insights to technical and business audiences through reports, dashboards, and presentations. What you need to bring: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Analytics, or a related quantitative discipline. Experience with analytics, reporting, business intelligence, statistical analysis, data visualization, or machine learning projects through academic, internship, or professional work. Knowledge and Skills Basic to intermediate SQL skills for data extraction, transformation, and analysis. Experience with Power BI or similar business intelligence and data visualization platforms. Knowledge of statistical analysis techniques including hypothesis testing, regression, forecasting, segmentation, and trend analysis. Familiarity with Python, R, or equivalent analytics programming languages. Understanding of machine learning concepts including classification, clustering, predictive modeling, and model validation. Familiarity with data preparation, ETL processes, and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-scientist-at-hewlett-packard-enterprise-1aa3a1

Source: https://jobsbylevel.com/jobs/data-scientist-at-hewlett-packard-enterprise-1aa3a1

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Level. https://jobsbylevel.com/jobs/data-scientist-at-hewlett-packard-enterprise-1aa3a1.

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