Data Science Graduate at Hewlett Packard Enterprise

Spring, Texas, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor’s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent
Typically 0-2 years experience
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (e.g. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (e.g. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic knowledge of data programming languages
Basic knowledge of data visualization techniques

Responsibilities

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

Skills

Key technologies and capabilities for this role

Data AnalysisAdvanced StatisticsOperations ResearchData VisualizationPredictive AnalyticsStatistical Modeling

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

This role is designed as ‘Hybrid’ with an expectation to work on average 2 days per week from an HPE office.

What education and experience is required for this position?

A Bachelor’s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent is required, along with typically 0-2 years of experience.

What are the key skills needed for this Data Science Graduate role?

Basic knowledge of data science methodologies, basic understanding of business requirements and data science objectives, and basic data mapping are required.

What is the company culture like at HPE?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports career growth.

What are the main responsibilities in this role?

Responsibilities include participating in data analysis and validation, aiding in metadata development and EDA preparation, contributing to model building and validation, supporting data science solutions, and visualization of insights.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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