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Data Science Intern

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Hewlett Packard Enterprise

3mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Sunnyvale

AI generated summary

  • You should pursue a degree in Data Science or IT, with basic skills in data science methodologies, programming, machine learning, data integration, and visualization techniques.
  • You will analyze data, enhance metadata, prepare data for EDA, build and validate models, and support visualization of insights and user experiences in analytics solutions.

Requirements

  • Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.
  • 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 (eg. R, SAS, SPSS, Python).
  • Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
  • Basic communication and presentation skills.
  • Basic data knowledge of relevant 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.

FAQs

What is the work format for this internship?

This internship is designed as a hybrid role, requiring an average of 2 days per week from an HPE office.

What is the main focus of the Data Science Intern position?

The main focus is on designing, developing, and applying programs and methodologies based on advanced analytic models to transform data into meaningful insights.

What are the education requirements for this internship?

Candidates must be working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software Development, or other IT-related fields.

What type of skills are expected from a Data Science Intern?

Interns should possess basic knowledge of data science methodologies, understanding of business requirements, data mapping, and familiarity with analytics software like R, SAS, SPSS, or Python.

Are there any opportunities for personal and professional development?

Yes, HPE invests in the career development of its team members through specific programs aimed at helping them reach their career goals.

Is there an expectation for teamwork in this internship?

Yes, the intern will act as a team member by contributing information, analysis, and recommendations in support of team efforts.

Does HPE offer any benefits to interns?

Yes, HPE provides a comprehensive suite of benefits that supports the physical, financial, and emotional well-being of its team members and their loved ones.

What is the salary range for this internship?

The expected salary range is between USD 35.00 - 46.00 per hour, depending on geographic location, experience, education, and skill level.

How does HPE ensure a diverse and inclusive work environment?

HPE is committed to an unconditional inclusion policy, valuing varied backgrounds, and creating an environment that fosters innovation and growth for all employees.

Is there a specific software proficiency required for this internship?

Interns should have basic knowledge of analytics software and familiarity with data programming languages and visualization techniques.

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Hewlett Packard Enterprise

Information Technology & Services

Technology
Industry
10,001+
Employees
1939
Founded Year

Mission & Purpose

HPE (Hewlett Packard Enterprise) is a global technology company that provides a comprehensive range of IT solutions and services. They offer hardware, software, and hybrid IT infrastructure solutions, including servers, storage systems, networking equipment, and cloud computing services. HPE's ultimate mission is to help their clients thrive in the digital age by providing transformative technology solutions that drive innovation, enhance productivity, and enable business growth. Their purpose is to empower organisations to harness the power of technology and data to solve complex challenges, optimise their IT infrastructure, and accelerate their digital transformation. HPE strives to be a trusted partner, delivering cutting-edge technology and expertise that enables their clients to adapt, innovate, and stay ahead in an ever-changing and competitive marketplace.