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Data Scientist, Search E-commerce Recommendation Lead

2 weeks ago


Seattle, Washington, United States TikTok Full time
About Us

TikTok is a leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.

Job Description

We are seeking an experienced Data Scientist, Search E-commerce Recommendation Lead to join our team at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise.

You will be responsible for elevating search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.

Responsibilities:
  • Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
  • Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
  • PUSH THE BOUNDARIES OF SHORT TEXT AND GENERAL RECOMMENDATION TECHNOLOGY, WITH A SPECIFIC EMPHASIS ON THE INTERACTION BETWEEN RECOMMENDATION AND NLP TECHNOLOGY.
  • Provide guidance and mentorship to fellow teammates.
Qualifications
  • 5+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business.
  • Domain knowledge or working experience in modern Recommendation, Search, Advertisement, E-commerce.
  • Bachelor or advanced degree in computer science or a related technical discipline.
  • Excellent coding skills. Solid knowledge of data structure and algorithms.
  • Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

PUBLICATION RECORDS IN TOP JOURNALS OR CONFERENCES WILL BE A PLUS. EXPERIENCE WINNING ACM-ICPC MEDALS WILL BE A PLUS.