Data Scientist (Money Platform) - TikTok

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok Singapore is seeking a data scientist for the Money Platform to advance data-driven decisions in payments, creator monetization, and content monetization. You will design metrics, run experiments, and collaborate with PM/RD to improve product strategy, while leveraging advanced analytics to drive growth.

The role emphasizes statistical rigor, scalable data tools, and cross-functional collaboration across a fast-growing tech environment in Singapore.

Qualifications

• Bachelor's degree with 4+ years of related work experience.
• Expertise in SQL and Python or R.
• Familiar with A/B testing and product analysis.
• Strong analytical and causal reasoning mindset, and clear communication.

Responsibilities

• Conduct data analysis in payment related business, including user transaction experience, content commercialization, creator monetization, agency monetization, user asset management and etc..
• Design metrics framework to measure product healthiness, track core metrics and understand root causes of metric movements.
• Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
• Identify growth opportunities with data analytics, and drive business decisions. Work with PM/RD to deliver product and strategy improvement.
• Research data science theories and methodology, improve analysis efficiency and data product tools.

Skills

SQL

Python

R

A/B testing

Product analysis

Education

Bachelor's degree

Tools

Big data technologies

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

About the Team

TikTok's data scientist team is a critical component of the platform's success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

The Money Platform is committed to providing compliant, flexible, and globalized financial solutions for the Group's businesses, empowering core models such as creator monetization, content commercialization, ad monetization, and live-streaming agencies. Leveraging standardized tools and modular designs, we enable rapid business deployment and scalable growth.

Job Description

• Conduct data analysis in payment related business, including user transaction experience, content commercialization, creator monetization, agency monetization, user asset management and etc..
• Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
• Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
• Identify growth opportunities with data analytics, and drive business decisions. Work with PM/RD to deliver product and strategy improvement.
• Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:

• Bachelor's degree with 4+ years of related work experience.
• Expertise in SQL and programming in Python or R.
• Familiar with A/B testing and product analysis
• Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:

• Experience of payment related business.
• Knowledge of machine learning.
• Experience with big data technologies.