Data Scientist, Post Purchase Experience - TikTok Shop

TikTok Inc

  • Seattle, WA
  • 28 days ago

    Highlights

    Preferred Qualifications: A Bachelor s degree or above, majoring in quantitative field statistics is preferred; E-commerce or online marketplace customer experience/post purchase experience is strongly preferred; Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies; To succeed in the role, you need to be a proactive, self-driven and impact-driven person; Be able to work with cross-functional teams in a fast-paced environment. Responsibilities: Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators; Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term; Monitoring the key metric changes, and deep dive for the reason behind.

    Numbers & Facts

    LocationSeattle, WA

    Description

    About the team: Governance and Experience(GNE) Data Science team works closely with the GNE ops teams in each region, is aiming to support the GNE ops team to make TikTok shop a safe and trustworthy platform for customers, sellers and influencers. What you can get here is totally different from a pure shelf-based e-commerce business model. Join us, and let s change the way people shop online!

    Responsibilities:

    • Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators;
    • Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term;
    • Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response;
    • Proactively generate insights and data solutions for business partners to achieve the business goal; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact . Minimum Qualifications:
    • At least 2 years of working experience in data science
    • Proficient in SQL, Python or R, and data visualization tools;
    • Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization.

    Preferred Qualifications:

    • A Bachelor s degree or above, majoring in quantitative field statistics is preferred;
    • E-commerce or online marketplace customer experience/post purchase experience is strongly preferred;
    • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies;
    • To succeed in the role, you need to be a proactive, self-driven and impact-driven person;
    • Be able to work with cross-functional teams in a fast-paced environment.

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