{"id":1237426,"url":"https://alion.io/job/tiktok-data-scientist-post-purchase-experience-tiktok-shop","title":"Data Scientist, Post Purchase Experience - TikTok Shop","company":{"id":47,"name":"TikTok","domain":"tiktok.com","url":"https://alion.io/company/tiktok","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"B","score":83,"open_postings":3441,"ghost_share":0.196,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":376},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Context Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-01T04:03:47Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-11-01T02:34:01Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":60},"description":"岗位职责 / Responsibilities\nAbout the team:\nGovernance 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!\nResponsibilities:\n- 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;\n- 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;\n- Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response;\n- 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 .\n任职要求 / Requirements\nMinimum Qualifications: \n- At least 2 years of working experience in data science\n- Proficient in SQL, Python or R, and data visualization tools;\n- Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization.\nPreferred Qualifications: \n- A Bachelor's degree or above, majoring in quantitative field statistics is preferred;\n- E-commerce or online marketplace customer experience/post purchase experience is strongly preferred;\n- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies;\n- To succeed in the 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