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DTSTAMP:20260202T201220Z
LOCATION:Hall 6
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UID:submissions.supercomputing.org_SC25_sess553_job129@linklings.com
SUMMARY:Data Science Intern
DESCRIPTION:This role has been designed as ‘Hybrid’ with an expectation th
 at you will work on average 2 days per week from an HPE office.\n\nJob Des
 cription:\n\nThis requestion may be classified as on desk or hybrid depend
 ing on location and role.\nJob Family Definition:\n\nDesigns, develops and
  applies programs, methodologies and systems based on advanced analytic mo
 dels (e.g. advanced statistics, operations research, computer science, pro
 cess) to transform structured and unstructured data into meaningful and ac
 tionable information insights that drive decision making. Uses visualizati
 on techniques to translate analytic insights into understandable business 
 stories (eg. descriptive, inferential and predictive insights). Embeds ana
 lytics into client’s business processes and applications. Combines busines
 s acumen and scientific methods to solve business problems.\n\nManagement 
 Level Definition:\n\nContributes to assignments of limited scope by applyi
 ng technical concepts and theoretical knowledge acquired through specializ
 ed training, education, or previous experience. Acts as team member by pro
 viding information, analysis and recommendations in support of team effort
 s. Exercises independent judgment within defined parameters.\n\nResponsibi
 lities:\n\n• Participates in the analysis and validation of data sets/solu
 tions/user experience.\n\n• Aids in the development, enhancement and maint
 enance 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.\n\n• Contributes to building models for the overall sol
 ution, validates results and performance. Contributes to the selection of 
 the model that supports the overall solution.\n\n• Supports the research, 
 identification and delivery of data science solutions to problems.\n\n• Su
 pports visualization of the model's insights, user experience and configur
 ation tools for the analytics model.\n\nRegistration Category: Technical P
 rogram Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass\n
 \nCountry: United States of America\n\nCompany: Hewlett Packard Enterprise
  (HPE)\n\nIn-Person / Remote: In-person\n\nPart Time / Full Time: Full Tim
 e\n\nPosition Type: Internship\n\n
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