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Data Science Graduate

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Hewlett Packard Enterprise

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Location:
United States, Spring

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

60800.00 - 181200.00 USD / Year

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 information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories. Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

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:

  • 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 (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:
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment

Additional Information:

Job Posted:
August 21, 2025

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