Hybrid Data Science Intern – PhD Level

Posted last week

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About the role

  • Data Science PhD Level Internship at The Home Depot focusing on analytics and data projects affecting operational functions. Involves mentorship, collaboration, and presentation of findings to management.

Responsibilities

  • Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units.
  • Build networking relationships and receive mentoring from team members and top-level management.
  • Communicate findings and project status clearly and professionally through presentations.
  • Provide recommendations to upper management.
  • Provide comprehensive report-out to senior leaders on assignments and other related projects.
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions.
  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python.

Requirements

  • Currently pursuing a PhD degree in a quantitative field (Analytics, Finance, Information Systems, etc.)
  • Excellent academic performance
  • Experience in a modern scripting language (preferably Python)
  • Experience running queries against data (preferably with Google BigQuery or SQL)
  • Experience with data visualization software (preferably Tableau)
  • Exposure to statistics, predictive modeling and other data science methodologies
  • Preferred GPA 3.0 or above.

Benefits

  • Housing assistance will be provided to eligible interns.

Job title

Data Science Intern – PhD Level

Job type

Experience level

Entry level

Salary

$50,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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