Data Science Intern: LIVE Analytics & Growth

TikTok

Singapore

On-site

SGD 17,000 - 26,000

Full time

2 days ago
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Job summary

TikTok is seeking a Data Science Project Intern for TikTok LIVE to start in 2026 in Singapore. You will analyze LIVE-related data, study watching behavior, creator ecosystem, and algorithm aspects, collaborating with PMs and ML teams.

You will design measurement frameworks, run A/B tests and causal analyses, and translate insights into product improvements. This internship offers hands-on data work, exposure to growth initiatives, and opportunities to contribute to live video experiences.

Qualifications

  • Currently pursuing a Bachelor's degree in Data Science or a related discipline.
  • Expertise in SQL.
  • Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Responsibilities

  • Analyze LIVE-related data, including watching experience, creator ecosystem, agency management, and algorithm improvement.
  • Design metrics framework to measure product health, monitor core metrics and identify root causes of metric movements.
  • Conduct statistical evaluations with A/B testing and causal inference.
  • Identify growth opportunities with data analytics and collaborate with PM/MLE/RD to drive product strategy improvements.
  • Research data science theories and methodologies to improve analysis efficiency and data product tools.

Skills

SQL
Analytical mindset
Causal reasoning
Strong communication
Python
R

Education

Bachelor's degree in Data Science or related discipline

Tools

Python
R

Job description

TikTok is seeking a Data Science Project Intern for TikTok LIVE to start in 2026 in Singapore. You will analyze LIVE-related data, study watching behavior, creator ecosystem, and algorithm aspects, collaborating with PMs and ML teams.

You will design measurement frameworks, run A/B tests and causal analyses, and translate insights into product improvements. This internship offers hands-on data work, exposure to growth initiatives, and opportunities to contribute to live video experiences.

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