TikTok Ecosystem - Data Science - Singapore
Responsibilities
About the team
The Data Science department is responsible for end-to-end data analysis work across various business directions, including indicator definition and monitoring, experimental design and evaluation, problem research, and opportunity mining. It studies various ecological issues and explores the formulation of strategies beneficial to long-term value. It also researches scientific statistical analysis methods to promote the implementation of data products.
Responsibilities:
1. Focus on core issues related to the content ecosystem, leveraging data science and statistical theories. Collaborate with team members working on products and strategy algorithms for the international short video content ecosystem to explore opportunities for enhancing user experience from an ecosystem perspective.
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2. Conduct data analysis for the negative content risks of Tiktok, explore governance paths, and guide the business to conduct ecosystem governance from four perspectives: issue discovery, metric definition, governance measures, and experience protection.
3. Evaluated the effectiveness of management measures and designed account-level policy mechanisms to enhance compliance.
4. Employ A/B testing, quantitative analysis, statistical modeling, and causal analysis to identify opportunities and risks within the content ecosystem. Develop unbiased metrics and provide actionable recommendations for iterating and optimizing content ecosystem strategies.
Qualifications
Minimum Qualifations:
1. Bachelor's or Master's degree in Statistics, Computer Science, Psychology, Data Science, Human-Computer Interaction, or a related field.
2. 3+ years of experience in data science, survey analytics, or user research at scale.
3. Proficiency in SQL and Python; familiarity with survey platforms and internal tool development is a plus.
4. Strong background in survey design, sampling methods, experimental design, and statistical inference.
5. Experience with data visualization tools such as Tableau, Power BI, or similar.
Preferred Qualifications:
1. Excellent communication skills and the ability to translate complex findings into business recommendations.
2. Knowledge of data privacy standards and ethical considerations in user data collection.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
Hear directly from employees about what it is like to work at TikTok.