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Xerox | Data Science AI/ML Intern | Raleigh, NC | United States | BigDataKB.com | 2023-01-27

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Job Location: Raleigh, NC

Job Detail:

Description & Requirements

About Xerox Holdings Corporation

For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power today’s workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients — no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. Learn more at www.xerox.com and explore our commitment to diversity and inclusion.

Purpose:

Turn raw data into valuable insights which will be needed in order to grow and compete. This will involve interpreting and analyzing data from multiple sources to come up with innovative solutions to problems. Will use their analytical, statistical, and programming skills to collect, analyze and interpret large data sets, and then use this information to develop data-driven solutions to different challenges. Must have a strong interest in using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. The right candidate will have a passion for architecting solutions uncovering value hidden in large data sets and working with stakeholders to improve business outcomes.

Key Responsibilities:

  • Data exploration, mathematical/ statistical modeling, data analysis, and hypothesis testing
  • Profile and analyze large data sets
  • Data collection, measurement, and organization
  • Dashboard Design & Creation
  • AI/ML Model building
  • Developing Predictive Analytics for various business functions within Xerox

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