Data Science Graduate (Global Payment) - 2027 Start

About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​ Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.​ As ByteDancers, 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. 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​ ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.​ Job highlights Yoga and fitness, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours Responsibilities Take charge of data analytics for payment and financial segments of global payment business, and conduct in-depth analysis on transactions and financial metrics for TikTok’s core businesses including e-commerce, live streaming and advertising.- Opportunity Identification: Gain in-depth insights into user behaviors, deliver optimization recommendations via qualitative and quantitative analysis to identify new growth drivers for the business.- Metric System Development: Design core metric frameworks aligned with the business value chain, align team objectives and unified measurement standards, and guide the iteration of models and operational strategies.- Business Improvement Enablement: Evaluate operational strategies with experimental analysis, causal inference and statistical modeling, drive strategy optimization to boost business revenue and decision-making efficiency.- Agentic Recommendation System: Explore the application of LLMs in data analytics, covering user behavior analysis, crowd segmentation, customer acquisition analysis, growth analytics and profitability analysis, and advance the implementation of the new paradigm of Agentic Data Analysis.- AI for Data Science: Build AI-powered capabilities for data science teams. Leverage LLMs and Agents to construct automated tools for anomaly attribution, experiment analysis and insight generation; accumulate reusable data science toolkits and standardized analysis frameworks, and build an AI-driven data science team. Qualifications Minimum Qualifications- Bachelor’s degree or above in quantitative analysis-related disciplines, including Mathematics, Statistics, Operations Research, Data Science, Computer Science, Economics and Business Analytics.- Solid foundation in mathematical statistics; proficient in theoretical knowledge of statistics, causal inference, machine learning and big data technologies.- Skilled in SQL; proficient in at least one programming tool among Python and R.Preferred Qualifications- Rigorous logical thinking, strong problem-solving skills, excellent communication and cross-team collaboration capabilities, and passion for tackling challenging business problems.- Solid understanding and hands-on application experience of AI technologies; candidates with proven track records of deploying AI solutions in data analytics scenarios are preferred.