Data Scientist

Overview

TikTok Shop is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. TikTok Shop hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

Responsibilities

• Responsible for data science and analytics related to C-end users, focusing on traffic conversion, user experience optimisation, and risk control rule development.
• Apply advanced statistical, machine learning, and deep learning techniques to mine user behaviour data, improving user engagement, conversion rates, and retention.
• Collaborate closely with product, operations, and engineering teams to drive data-driven decision-making and optimise user experience and product features.
• Design and implement strategies to enhance user experience, analyse user feedback, identify experience issues, and optimize ROI of user benefits, increasing overall user satisfaction on the platform.
• Participate in the development of risk control rules, identify and prevent abnormal behaviors, and ensure the platform’s safety and growth.
• Support business decisions through data modeling and analysis, driving continuous product iteration and innovation.

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or relevant fields, with 3+ years of experience in user data analysis, user growth, or risk control.
• Proficient in SQL, skilled in data analysis and modeling using R/Python.
• Solid experience in user behaviour analysis, A/B testing, traffic analysis, and conversion rate optimisation, with hands-on project experience.
• Excellent business acumen and cross-functional collaboration skills, with the ability to quickly adapt to new business and technology challenges.

Preferred Qualifications

• Familiarity with big data technologies such as Hadoop, Spark, Hive.
• Strong knowledge of statistics, machine learning, and deep learning; experience in risk modeling or implementing user experience strategies.
• Experience in global e-commerce, content commerce, or consumer internet products.

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet

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