Senior Data Scientist, Ecommerce - USDS
Apply NowCompany: TikTok
Location: Seattle, WA 98115
Description:
Responsibilities
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
Qualifications
Minimum Qualifications:
- Bachelor degree or above, majoring in mathematics, statistics, computer science is preferred
- Proficient in SQL, tableau and familiar with Python or R for modelling project
- 5+ years of working experience in data science, machine learning
- Self-driven, capable of working independently in a dynamic, fast-paced environment, and delivering projects from end to end
-Effectively communicate and present results of data analyses to stakeholders to drive business impact
Preferred Qualifications
- Ecommerce Experience
- Experience collaborating with cross-functional teams while managing and prioritizing multiple projects
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
Qualifications
Minimum Qualifications:
- Bachelor degree or above, majoring in mathematics, statistics, computer science is preferred
- Proficient in SQL, tableau and familiar with Python or R for modelling project
- 5+ years of working experience in data science, machine learning
- Self-driven, capable of working independently in a dynamic, fast-paced environment, and delivering projects from end to end
-Effectively communicate and present results of data analyses to stakeholders to drive business impact
Preferred Qualifications
- Ecommerce Experience
- Experience collaborating with cross-functional teams while managing and prioritizing multiple projects