Data Scientist

1 month ago


Seattle, Washington, United States Tik Tok Full time
About the Role:

The global e-commerce data science team at TikTok aims to maximize the efficiency of e-commerce transactions through quantitative techniques such as mathematical statistics and machine learning.

Key Responsibilities:
  • Apply causal inference, machine learning, and other technologies to actively explore opportunities in traffic, products, operations, and strategies.
  • Through keen insight into the business, qualitative and quantitative analysis, model construction, and experimental verification, complete in-depth project analysis and provide strategic suggestions.
  • Efficiently communicate with cross-functional teams, promote the implementation of strategy application, and continuously optimize.
Qualifications:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, or Analytics.
  • Product Analytics, Machine Learning, and Statistics expertise.
  • Experimentation skills.
  • SQL proficiency.
  • Python or R programming skills.
Preferred Qualifications:
  • Advanced degree (MS, PhD) in Mathematics, Statistics, Analytics, etc.
  • Expertise with e-commerce search or recommendation strategies and relevant domain knowledge.
  • Strong curiosity and self-driving force, with a willingness to accept challenges and aim for the highest.
  • Excellent communication skills, an open mind, and positive critical thinking.
  • Strong driving ability, open and inclusive, with the ability to actively think and explore, with a sense of ownership, and willing to bring positive impact to the team.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.



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