Data Scientist, Capcut - USDS
San Jose, California, United States
Team Intro:
CapCut is an all-in-one video editing app that empowers creators to express themselves and transform videos into creative masterpieces. In addition to its basic features, such as video editing, text, stickers, filters, colors and music, CapCut offers free advanced features, including keyframe animation, smooth slow-motion effects, chroma key, Picture-in-Picture (PIP), and stabilization to help you capture and snip moments.
The Data Science team of the Tech and Product department at TikTok USDS is responsible for building high-quality and timely data solutions for the business as the single source of truth and for building easy-to-use and scalable data products to support business growth.
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:
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
CapCut is an all-in-one video editing app that empowers creators to express themselves and transform videos into creative masterpieces. In addition to its basic features, such as video editing, text, stickers, filters, colors and music, CapCut offers free advanced features, including keyframe animation, smooth slow-motion effects, chroma key, Picture-in-Picture (PIP), and stabilization to help you capture and snip moments.
The Data Science team of the Tech and Product department at TikTok USDS is responsible for building high-quality and timely data solutions for the business as the single source of truth and for building easy-to-use and scalable data products to support business growth.
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:
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
* 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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