TikTok Shop - Data Scientist - Product Analysis
Seattle, Washington, United States
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, 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 users we serve. Join us.
The commerce data science team aims to maximize the efficiency of commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class commerce platform.
What you will do？
1. Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
2. Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business/user product offerings;
3. Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way;
4. Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features;
5. Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth. Provide recommendations for improvements to achieve business goals;
6.Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, 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 users we serve. Join us.
The commerce data science team aims to maximize the efficiency of commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class commerce platform.
What you will do？
1. Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
2. Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business/user product offerings;
3. Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way;
4. Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features;
5. Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth. Provide recommendations for improvements to achieve business goals;
6.Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
Data Science Jobs
Product Jobs
Tags: A/B testing E-commerce Machine Learning Statistics Testing
Perks/benefits: Career development
Region:
North America
Country:
United States
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