Quantitative Analyst for Recommendation Systems

6 days ago


Singapore TIKTOK PTE. LTD. Full time

TikTok PTE. LTD. is a global technology company that enables creators to produce and share content with billions of users worldwide.

Qualifications

We are seeking a highly skilled Quantitative Analyst for Recommendation Systems to join our strategy team.

In this role, you will work closely with cross-functional teams to develop and implement data-driven solutions that improve user experience and drive business growth.

You will analyze large datasets to identify trends and patterns, and develop predictive models to optimize recommendation systems.

This is an excellent opportunity to leverage your analytical skills and expertise in quantitative analysis to make a significant impact on our business.

Key Responsibilities:

  • Analyze user behavior and consumption data to identify opportunities for improvement.
  • Develop and deploy predictive models to optimize recommendation systems.
  • Collaborate with cross-functional teams to develop and implement data-driven solutions.
  • Analyze the effectiveness of implemented solutions and provide recommendations for further improvement.

Requirements:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • 5+ years of experience in quantitative analysis or a related field.
  • Strong background in machine learning and statistical modeling.
  • Experience working with large datasets and developing predictive models.
  • Excellent communication and collaboration skills.

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