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LOCATION:Hall 6
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UID:submissions.supercomputing.org_SC25_sess553_job145@linklings.com
SUMMARY:Data Science Graduate
DESCRIPTION:This requestion may be classified as on desk or hybrid dependi
 ng on location and role.\nJob Family Definition:\n\nDesigns, develops and 
 applies programs, methodologies and systems based on advanced analytic mod
 els (e.g. advanced statistics, operations research, computer science, proc
 ess) to transform structured and unstructured data\n\ninto meaningful and 
 actionable information insights that drive decision making. Uses visualiza
 tion techniques to translate analytic insights into understandable busines
 s stories (eg. descriptive, inferential and predictive insights). Embeds a
 nalytics into client’s business processes and applications. Combines busin
 ess acumen and scientific methods to solve business problems.\n\nManagemen
 t Level Definition:\n\nContributes to assignments of limited scope by appl
 ying technical concepts and theoretical knowledge acquired through special
 ized training, education, or previous experience. Acts as team member by p
 roviding information, analysis and recommendations in support of team effo
 rts. Exercises independent judgment within defined parameters.\n\nResponsi
 bilities:\n\n• Participates in the analysis and validation of data sets/so
 lutions/user experience.\n\n• Aids in the development, enhancement and mai
 ntenance of a client's metadata based on analytic objectives. May load dat
 a into the infrastructure and contributes to the creation of the hypothesi
 s matrix. Prepares a portion of the data for the Exploratory Data Analysis
  (EDA) / hypotheses.\n\n• Contributes to building models for the overall s
 olution, validates results and performance. Contributes to the selection o
 f the model that supports the overall solution.\n\n• Supports the research
 , identification and delivery of data science solutions to problems.\n\n• 
 Supports visualization of the model's insights, user experience and config
 uration tools for the analytics model.\n\nRegistration Category: Technical
  Program Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass
 \n\nCountry: United States of America\n\nCompany: Hewlett Packard Enterpri
 se (HPE)\n\nIn-Person / Remote: In-person\n\nPart Time / Full Time: Full T
 ime\n\nPosition Type: Permanent\n\n
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