Hewlett Packard Enterprise

Data Science Intern

Hewlett Packard Enterprise

internship

Posted on:

Location Type: Hybrid

Location: Sunnyvale • California, Massachusetts, Minnesota, North Carolina, Texas, Wisconsin • 🇺🇸 United States

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Salary

💰 $35 - $46 per hour

Job Level

Entry Level

Tech Stack

ETLInformaticaPython

About the role

  • 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.

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).
Benefits
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata validationmetadata developmentExploratory Data Analysis (EDA)model buildingmodel validationdata science solutionsdata mappingdata migrationmachine learning