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Data Science Intern

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Hewlett Packard Enterprise

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Location:
United States, Ft. Collins

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

35.00 - 46.00 USD / Hour

Job Description:

Designs, develops, and applies programs, methodologies, and systems based on advanced analytic models to transform structured and unstructured data into meaningful and actionable insights that drive decision-making. Uses visualization techniques to translate analytic insights into understandable business stories.

Job Responsibility:

  • 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)
  • Basic communication and presentation skills
  • Basic data knowledge of relevant data programming languages
  • Basic knowledge of data visualization techniques
What we offer:
  • Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
  • Specific programs catered to helping reach career goals
  • Unconditional inclusion and flexibility to manage work and personal needs

Additional Information:

Job Posted:
September 24, 2025

Expiration:
May 26, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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