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Data Scientist Graduate (E-Commerce Governance)

TikTok · Seattle, WA · 收录于 8月17日
评分
73
发布日期
收录于 8月17日 (2周前)
签证支持
支持 (该雇主近年 H-1B 批准 442 例)
内推
有 CSO 内推渠道
公司规模
10k+
行业
互联网

岗位描述

The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology:

  • Combat any kinds of risks/violations issues in E-commerce scenarios.
  • Build an E-commerce ecosystem and improve platform service capabilities

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

  • Develop scientific metrics to measure success of E-Commerce governance and experience team.
  • Develop the credit system for merchants and creators to incentivize good behavior.
  • Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design

Minimum Qualifications

  • Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Statistics, Economy or a related discipline. • Proficient in at least one software programming language, such as SQL/R/Python.
  • Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge.

Preferred Qualifications

  • Experiences in Hadoop/Spark/Storm and other computing platforms and tools.
  • Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.

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