Senior Data Scientist, Ecommerce - USDS

San Jose, California, United States

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Team Intro
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:
• Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our E-commerce product
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Develop data pipelines and dashboards to enhance data infrastructure
• Develop ML models to find potential creators, measuring LTV of users, etc
• Cooperate with PM/Ops/R&D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
• Provide guidance to junior analysts and data scientists
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Data Mining Data pipelines E-commerce Machine Learning ML models Pipelines R R&D Statistics

Region: North America
Country: United States

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