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 TikTok 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.
Want more jobs like this?
Get jobs in Singapore delivered to your inbox every week.
- Partner with other TikTok Shop Data Science teams in South East Asia, Data Engineering teams globally, and other GNE Data Science teams across the world.
- Improve data accessibility for GNE governance and experience teams; increasing data understanding, improving dashboard availability and insight, etc
- Data-Driven Decision Making: Develop and implement data-driven decision-making frameworks across the SEA GNE organization. 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
• 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.