TikTok
Senior Data Scientist, Ecommerce - USDS
TikTok, Seattle, Washington, us, 98127
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:
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.At least 5 years of working experience in data science, machine learning (experience in E-commerce preferred).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.Experience collaborating with cross-functional teams while managing and prioritizing multiple projects.
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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:
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.At least 5 years of working experience in data science, machine learning (experience in E-commerce preferred).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.Experience collaborating with cross-functional teams while managing and prioritizing multiple projects.
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