TikTok Shop - Data Scientist - Measurement

Responsibilities

Our economists team collaborate with business teams to understand their challenges, develop a research agenda, design pilots and measure their impact. We are looking for candidates who are creative thinkers with strong technical economic toolbox. Our partner teams are algorithm engineers, marketing, seller & creator growth, user growth, resource management, etc.

Responsibilities:
Quickly convert a real business requirement into a solvable modeling problem. Use economic thinking and scientifically rigorous methods(including but not limited to causal inference methods, economic modelling, experimentation) to facilitate decision making related to product functions, recommendation & search algorithm strategies, operations, and other business strategies. Specifically:
1. Develop a systematic framework to causally evaluate the impact of various policies and strategies;
2. Predict the long-term impact of policies and strategies;
3. Increase the impact of business actions by identifying & understanding key mechanisms;
4. Optimize traffic/cost (e.g. marketing expense) allocation;
5. Improve the ecosystem of TikTok ecommerce, including but not limited to seller growth, product supply, content supply, governance, and user growth.

Qualifications

Minimum Qualifications:
1. Master's degree or above in economics, statistics, Operations Research, finance, quantitative marketing, or related field;
2. Proven track record in research and solutions to business problems leveraging techniques from economics or related disciplines;
3. Coding ability in a scripting language such as R, and/or Python, SQL with strong writing and presenting skills;
4. Experience in communicating scientific approaches and findings to business leaders and deliver successful scientific solutions;
5. More than 3 years of data analysis experience, experience in large tech company is preferred;

Preferred Qualifications:
1. Strong writing and presenting skills;
2. Demonstrable experience in any of the following areas of applied economics is preferred: reduced-form causal analysis, predictive modeling and causal ML algorithms, forecasting, labor economics, health economics, education economics, behavioral economics, financial economics, industrial organization.