HR AI Analytics Intern

LumentumSan Jose, CA
$24 - $54

About The Position

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Job Overview: Join our dynamic HR Analytics team as an HR AI Analytics Intern, where you will play a pivotal role in enhancing our workforce planning capabilities. This internship offers a unique opportunity to engage in a predictive analytics project, leveraging our AI infrastructure to analyze employee turnover and forecast hiring needs aligned with our business trajectory. Your contributions will directly impact our strategic planning and decision-making processes, providing valuable insights to drive organizational growth.

Requirements

  • Qualified candidates will be enrolled in a Bachelor’s or Master’s degree program in Computer Science/Data Science/Applied Statistics/Information Systems or a related major such as Machine Learning/Data Science or Business Analytics.
  • Relevant coursework or 6+ months project experience.

Nice To Haves

  • Proficiency in programming languages such as Python and R.
  • Strong data cleaning and descriptive statistics skills.
  • SQL & data engineering basics
  • Understanding of machine learning fundamentals.
  • Ability to perform data querying and analysis.
  • Excellent collaboration and communication skills.
  • Critical thinking and problem-solving abilities.
  • Capability to manage projects independently.
  • knowledge of HR metrics (turnover rate, voluntary vs. involuntary), workforce planning concepts

Responsibilities

  • Develop and execute a comprehensive project plan for predictive analytics focused on employee turnover.
  • Engage with key stakeholders from HR Business Partner, TA, and other teams to understand the business needs and how this tool will be utilized.
  • Collaborate with the AI Team to utilize existing AI infrastructure effectively.
  • Collect, clean, and analyze data to identify trends and patterns in workforce dynamics.
  • Apply machine learning fundamentals to develop predictive models for estimating turnover and future hiring needs.
  • Present findings and recommendations to stakeholders, supporting data-driven decision-making.
  • Work independently and manage project timelines to ensure successful execution.
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