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Data Science Intern

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Engineering
  • San Jose

Requirements

  • Develop thorough understanding of the general/technical aspects of the job.
  • Works on assignments that are routine to moderately complex in nature and require ordinary problem resolution, such as contribute to building models for the overall solution, validating results and performance, and selecting the model that supports the overall solution.
  • Will support the research, identification, and delivery of data science solutions to problems.
  • And will support the visualization of the model's insights, user experience, and configuration tools for the analytics model.
  • Receives general instructions on all work.
  • Works under limited supervision and normally receives no instruction on routine work and general instructions for new assignments.

Responsibilities

  • Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
  • Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights).
  • Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
  • Apply basic knowledge of the job skills and company policies and procedures to be part of the analysis and validation of data sets, solutions, and the end-user experience.
  • Aid in the development, enhancement, and maintenance of a client's metadata based on analytic objectives.
  • Load data into the infrastructure and contribute to the creation of the hypothesis matrix and prepare a portion of the data for the Exploratory Data Analysis (EDA)/hypotheses.
  • Develop thorough understanding of the general/technical aspects of the job.
  • Work on assignments that are routine to moderately complex in nature and require ordinary problem resolution.
  • Contribute to building models for the overall solution, validating results and performance, and selecting the model that supports the overall solution.
  • Support the research, identification, and delivery of data science solutions to problems.
  • Support the visualization of the model's insights, user experience, and configuration tools for the analytics model.
  • Receive general instructions on all work.
  • Work under limited supervision and normally receive no instruction on routine work and general instructions for new assignments.

FAQs

Do we support remote work?

Yes, we support remote work in a hybrid format, with an expectation of working 2-3 days per week from an HPE office.

What is the role of a Data Science Intern at HPE?

The Data Science Intern will assist in the analysis and validation of data sets, contribute to the development of metadata based on analytic objectives, and prepare data for Exploratory Data Analysis (EDA).

What qualifications are required for this internship?

The internship requires basic knowledge of data science skills and company policies. Familiarity with data analysis, modeling techniques, and data visualization is beneficial.

Is there potential for personal and professional development?

Yes, HPE invests in the career growth of its team members, offering programs to help reach career goals and develop expertise in various fields.

What types of benefits does HPE provide?

HPE provides a comprehensive suite of benefits supporting physical, financial, and emotional wellbeing, which includes health and wellness programs.

What is the expected salary range for this position?

The expected salary range for a U.S.-based hire filling this position is $28.50 - $54.75 per hour.

How does HPE approach diversity and inclusion?

HPE is committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills, fostering an inclusive environment for all employees.

What can I expect in terms of supervision and work assignments?

Interns will receive general instructions on their work, operate under limited supervision on routine tasks, and receive guidance for new assignments.

Until when can I apply for this internship?

The estimated job application period closure is May 2025, but HPE may continue recruiting for this role beyond that date, so all qualified candidates are encouraged to apply.

How does HPE handle employment considerations for individuals with criminal histories?

HPE complies with all applicable laws regarding the use of arrest and conviction records, considering qualified applicants with criminal histories for employment.

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.