Jobs
Benefits & Perks
•Top Tier compensation with equity
•Wellness benefits
•Flexible PTO policy
•Learning and development stipend
•Health, dental, and vision coverage
Required Skills
Python
SQL
TensorFlow
Tik Tok Shop
- Data Science Leader
- SEA Governance & Experience
3+ months ago• Singapore
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About Us
Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology
Responsibilities:
E-commerce's Governance and Experience (GNE) is a global team responsible for ensuring our marketplace is safe and trustworthy for not only our users, but also sellers and creators. We value user satisfaction and work on policies, rules and systems to ensure quality. Our mission is to provide world-class service and experience for customers, sellers, and creators.
We are looking for a Data Science Leader to help lead data science team for the Tik Tok Shop Southeast Asia & Japan Governance and Experience team. Partner with operations and product teams to improve decision making effectiveness and improve the overall quality of the buyer experience.
- Data Science Leadership: Build and lead a high-performing data science team for the governance and experience function within South east Asia , providing guidance, mentorship, and fostering a culture of innovation and collaboration. Help elevate the analysis of the team from "data upon request" to truly driving new insight, identifying new opportunities, and helping craft solutions through data.
- Partner with other Tik Tok Shop Data Science teams in South East Asia, Data Engineering teams globally, and other GNE Data Science teams across the world.
- Improve data ation. Translate complex data insights into actionable strategies and recommendations for senior management.
- Team Management & Development: Recruit, train, and mentor a team of data scientists and analysts. Foster a collaborative and high-performing work environment.
- Cross-functional Collaboration: Collaborate effectively with other departments (e.g., marketing, sales, product development) to ensure alignment on strategic goals and data-driven initiatives.
Qualifications
Minimum Qualifications:
- Substantial data and analytics experience: Master's degree or above in a quantitative field (e.g., statistics, mathematics, computer science, economics) or a related field with significant data science experience. An PhD or MBA is a plus.
- 5+ years of managerial experience in a data science or analytics leadership role, with a proven track record of success in driving business growth through data-driven insights.
- Expertise in various statistical modeling techniques, machine learning algorithms, and data visualization tools.
- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice
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- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems
- Strong business orientation: Deep understanding of the SEA e-commerce market, including its unique cultural, economic, and technological landscape. SEA e-commerce experience recommended but not required.
Preferred Qualifications:
- Ability to operate effectively as part of international team: Cross-regional cooperation will be critical, as part of global GNE Data Science, Strategy, and Insight team. Work to leverage global best practices, customize for South East Asia & Japan markets, and further pilot new projects for global role out.
- Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate complex information to both technical and non-technical audiences.
- Detail-orientated operational perspective: Governance and Experience teams are responsible for a variety of policies and operations across a large e-commerce marketplace. While the Data Science, Strategy, and Insight team does not directly own these policies, developing a deep understanding of the various operations is critical to success in this role, becoming a thought partner to leaders is critical.
Client-provided location(s):Singapore
Job ID: Tik Tok-7499018043369703688
Employment Type: OTHER
Posted: 2025-05-08T00:27:46
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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)
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About TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
Employees
Los Angeles
Headquarters
$220B
Valuation
Reviews
3.1
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.0
5%
Recommend to a Friend
Pros
Limited positive feedback available
Company size allows for potential opportunities
Technology platform experience
Cons
Mass layoffs and poor handling of terminations
Unprofessional management and HR behavior
Exposure to traumatic content without adequate support
Salary Ranges
52 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1 reports
$273,000
total / year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Data Structures
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