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トレンド企業

トレンド企業

採用

求人TikTok

Data Science Lead, Trust & Safety

TikTok

Data Science Lead, Trust & Safety

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利厚生

Remote Work

Equity

Parental Leave

必須スキル

SQL

PyTorch

TensorFlow

About the Team

As a Data Science Lead in Tik Tok's Trust and Safety team, you will lead a team to drive data-inspired decisions and form roadmaps in ensuring that Tik Tok LIVE remains a safe, trustworthy, and risk-free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large-scale safety issues. You will scope out projects, use ground-truth data to inform strategies, and influence product design. You will lead Tik Tok LIVE Safety Experience priority while partnering with various stakeholders across the product, operations, policy, and engineering teams-both locally and globally.

Responsibilities

  • Lead Global Analytical Projects: Spearhead large-scale quantitative analysis projects from end to end - from designing complex metrics and evaluation frameworks to synthesizing multifaceted results into clear, actionable insights across diverse regional markets.
  • Strategic Business Planning Across Markets: Drive both short-term and long-term global strategic planning through advanced business analysis, industry benchmarking, and macro trend forecasting. Ensure alignment across key geographies, with a focus on Southeast Asia, North America, and Europe.
  • Risk Intelligence System Design: Architect global safety and risk indicator systems that address the unique content safety challenges in different markets. Monitor, measure, and optimize platform risk coverage with a focus on regulatory and cultural nuances.
  • Content Safety Strategy Leadership: Own the refinement of global content safety systems by integrating statistical modeling, automated decisioning, and business trade-off quantification. Lead scalable solutions for critical risk mitigation efforts.
  • Cross-Functional Leadership: Lead and collaborate with multi-regional cross-functional teams including product, policy, engineering, and operations. Ensure seamless communication of insights and drive unified decision-making at a global scale.
  • Specialized Risk Detection & Prevention: Proactively identify emerging risks to the platform ecosystem and design data-driven countermeasures. Leverage deep knowledge of international safety standards and local content sensitivities.
  • Scalable Infrastructure & Tooling: Develop reusable analytical methodologies and internal tools to empower global teams in areas such as resource allocation, experimentation automation, and policy enforcement decision engines.
  • Executive-Level Reporting & Influence: Provide strategic insights and recommendations to senior leadership and global Trust & Safety stakeholders, playing a pivotal role in shaping the macro-level direction of content governance.

Qualifications

Minimum Qualifications

  • 5+ years of leadership experience, including hiring and scaling high-performing Data Science teams.
  • 5+ years of Data Science experience in Consumer-Facing mobile or web internet industries where you have built social networking, video content applications or other consumer internet applications. Deep understanding of risks in globalised products, with experience in designing success metrics and A/B testing.
  • Solid experience in quantifying complex problems with many impacting factors, and use statistical methods to seek answers, such as designing experiments, making causal inference. Proficient in data analysis and statistical analysis tools such as SQL, Python, R, Excel, and Tableau.
  • Bachelor's degree or above, preferably in mathematics or statistics-related majors, with a solid foundation in statistical and data mining theories.
  • Ability to translate technical analysis results into clear strategic recommendations and has successful experience in driving cross-functional collaboration in a fast-paced environment.
  • Acute ability to grasp company product-related industry technology development trends, and possess strong macro analysis and decision-making capabilities.

Preferred Qualifications

  • Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role
  • Your resilience and commitment to self-care to manage the emotional demands of the role

総閲覧数

2

応募クリック数

0

模擬応募者数

0

スクラップ

0

TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1件のレポート

$273,000

年収総額

基本給

$210,000

ストック

-

ボーナス

-

$273,000

$273,000

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit