The Hewlett Packard Enterprise Company (HPE) is an American multinational information technology company based in Spring, Texas. It is a business-focused organization which works in servers, storage, networking, containerization software and consulting and support.

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Job Overview

In order to assist decision-making and offer insights to the business, this function is in charge of gathering, evaluating, interpreting, and presenting data. In order to help organizations make wise decisions and streamline their operations, the position works with huge datasets to find trends, patterns, and correlations. In order to convey their findings to stakeholders who are not technical, the job makes use of a variety of tools, methodologies, and analytical abilities.

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Responsibilities

• Contributes to the investigation, design, development, execution, and implementation of data science projects as a member of a team of other data science engineers in order to produce new knowledge, goods, technologies, and intellectual property.
• Drives data-driven decision making by identifying process gaps and underlying causes through the use of statistical tools and techniques.
• Creates and implements a wide range of methods and theories from business intelligence, machine learning, and statistics to provide useful business insights.
• Performs/executes data gathering and analysis methods as well as data insight visualizations for given projects in compliance with the plan and team direction.
• Supports the team in carrying out validations and experiments in line with the overall strategy.
• Uses established procedures and processes to gather, document, and evaluate data; shares results with other team members for evaluation and feedback.

Qualification & Skills

• Four-year degrees in computer science, mathematics, statistics, economics, or other related field, as well as relevant work experience or proof of proficiency.
• Usually has between one and two years of job experience, ideally in statistical analysis, database administration, data analytics, or a similar sector.