Senior Data Scientist, Ecommerce - USDS
About TikTok . Data SecurityTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.
Data Security ( USDS ) is a subsidiary of TikTok in the . This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep .
users safe. Our focus is on providing oversight and protection of the TikTok platform and . user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity;
to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together.
That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. About the TeamThe 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
- 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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