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Open nowFirst seen 3 hours ago

Data Scientist - TikTok LIVE

TikTok4,279 open roles

Where
San Jose, California, United States of America
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Your applicationOpen nowData Scientist - TikTok LIVETikTok · San Jose, California, United States of America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on TikTok's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. TikTok postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 3 hours ago

TikTok median: 6 days open

The posting

About the Team The primary role of a Data Scientist on the Governance team is to conduct deep analysis of user behavior and content ecosystems to drive the TikTok LIVE community develop healthy. You will work closely with cross-functional teams, such as Product Managers, Operations, and R&D, to mitigate risks, ensure compliance, and cultivate a healthy, safe, and trustworthy LIVE ecosystem.

Responsibilities - What You'll Do 1. Conduct deep-dive data analysis in LIVE Governance domains, including content health identification, strategy design and analysis, and creator experience. 2. Design and establish a comprehensive metrics framework to quantify ecosystem healthiness and safety risks. Keep track of core governance metrics and conduct root cause analysis for metric anomalies. 3. Conduct scientific evaluation using statistical methods, including A/B testing and causal inference, to measure the actual impact of policies and strategy interventions. 4. Proactively identify ecosystem anomalies, patterns, and malicious behaviors through exploratory data analytics. Formulate data-driven governance strategies and work with PM/Operation to implement robust countermeasures. 5. Research advanced data science methodologies (e.g., anomaly detection, network analysis) to continuously improve risk identification efficiency and build scalable analytical tools.

Minimum Qualifications 1. Bachelor's degree in Data Science, Statistics, Econometrics, Computer Science, or a related quantitative field. 2. 1+ year of experience in Data Science, Analytics, or a related role. 3. Expertise in Statistics, SQL and handling large-scale datasets.

Preferred Qualifications 1. Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. 2. Strong communication skills with a passion for solving complex ecosystem challenges.

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