Data Scientist

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...

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