Image-HasTech

Intern- Data Science

HP
  • AUSTIN, TX US
Salary: $57K /yr

Description

JOB DESCRIPTION Data Science Intern Description - About Us: Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. Responsibilities: You will partner with a more senior data scientist and jointly define a project that you will tackle over the course of the internship – focusing on areas where your experience best complements the problem statement. Potential areas of work include: • Perform exploratory data analysis on new datasets to generate insights and hypotheses that can help drive business value • Learn about existing data science models at HP, and research ways to potentially improve them • Identify and evaluate potential methodologies to tackle existing business problems at HP • Explore new technologies and generate a proof of concept on how it can be deployed at HP Education and Experience Required: Master's degree 1st year Job - Administration Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes EEO Tagline - HP Inc.is EEO F/M/Protected Veteran/ Individual with Disabilities.

Role and Responsibilities

  • You will partner with a more senior data scientist and jointly define a project that you will tackle over the course of the internship – focusing on areas where your experience best complements the problem statement. Potential areas of work include: • Perform exploratory data analysis on new datasets to generate insights and hypotheses that can help drive business value • Learn about existing data science models at HP, and research ways to potentially improve them • Identify and evaluate potential methodologies to tackle existing business problems at HP • Explore new technologies and generate a proof of concept on how it can be deployed at HP

Summary

Job Type : Full_Time
Designation : Intern- Data Science
Posted on : 19 March 2024
Department : Information Technology
Salary : $57K /yr
Qualification : Master's degree 1st year
Work experience : 0-2 years
Openings : 2
Email : [email protected]
Contact : 8005659917
Website : https://lensa.com/job/hp/austin-tx/data-science-intern/c63b0ddd2d12909fa9a210ff2a2f527e
Application End : 11 April 2024

Skills:

Reading Comprehension - Understanding written sentences and paragraphs in work related documents. Active Listening - Giving full attention to what other people are saying taking time to understand the points being made asking questions as appropriate and not interrupting at inappropriate times. Writing - Communicating effectively in writing as appropriate for the needs of the audience. Speaking - Talking to others to convey information effectively. Mathematics - Using mathematics to solve problems. Science - Using scientific rules and methods to solve problems. Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions conclusions or approaches to problems. Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making. Monitoring - Monitoring/Assessing performance of yourself other individuals or organizations to make improvements or take corrective action. Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Operations Analysis - Analyzing needs and product requirements to create a design. Technology Design - Generating or adapting equipment and technology to serve user needs. Programming - Writing computer programs for various purposes. Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one. Systems Analysis - Determining how a system should work and how changes in conditions operations and the environment will affect outcomes. Systems Evaluation - Identifying measures or indicators of system performance and the actions needed to improve or correct performance relative to the goals of the system. Time Management - Managing one's own time and the time of others.