<strong>Responsibilities<br></strong>The commerce data science team aims to maximize the efficiency of commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class commerce platform.<br><br>In this role, you will:<br>1. Provide actionable insights to drive SEA business growth, and improvement of operational efficiency;<br>2. Leverage data science expertise to design data solutions to solve commerce operation/product problems such as supply growth, seller growth and marketplace efficiency etc.;<br>3. Partner closely with key stakeholders to monitor, diagnose and optimize overall business performance and health;<br>4. Provide in-depth analysis with localized suggestions for improvements to align with business goals;<br>5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.<br><br><strong>Qualifications<br></strong>Minimum Qualifications:<br>1. At least 5 years of working experience in data science/data analytics, with a master's degree or above, majoring in quantitative fields (i.e. mathematics, statistics) or business information tech/science/engineering (i.e. Computer Science) fields are preferred;<br>2. Proficient in SQL, Python or R, and expertise in at least one of the three areas: advanced measurement (e.g AB testing, causal inference or systems with complex trade-offs), modeling, and optimization;<br>3. Fluent English in both verbal and written business communication, to work with a global team;<br>4. To succeed in the role, you need to be a proactive, self-driven and impact-driven person;<br>5. Able to work with cross-functional teams in a fast-paced environment.<br><br>Preferred Qualifications:<br>1. E-commerce or online marketplace work experience is strongly preferred.<br>2. Overseas business experience or analytical experience is preferred.<br><br><strong>About TikTok<br></strong>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.<br><br><br><strong>Why Join Us<br></strong>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.<br>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.<br><br>Diversity & Inclusion<br>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.