{"id":1309537,"url":"https://alion.io/job/tiktok-lead-data-scientist-e-commerce-recommendation-multiple-positions","title":"Lead Data Scientist - E-Commerce Recommendation (Multiple Positions)","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":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","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":{"min":208050,"max":335920,"currency":"USD","period":"year","gross":null,"usd_annual":335920},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-08T22:25:07Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T22:09:28Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"岗位职责 / Responsibilities\nAbout TikTok\nTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.\nTikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.\nWhy Join Us\nInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. \nTogether, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. \nWe strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. \nEvery challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. \nBy constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. \nWhen we create and grow together, the possibilities are limitless. \nJoin us.\nAbout the Team\nOur team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! \nResponsibilities\nDevelop and iterate internal strategies, working with algorithm and product teams to improve recommendation performance and support growth in the E-Commerce ecosystem.\nUse causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, and strategies.\nComplete in-depth special project analysis and provide strategic suggestions through qualitative and quantitative analysis, model construction, and experimental verification.\nPartner with stakeholders across product, engineering, and business teams to identity trends, align data science solutions with strategic goals, and to deliver scalable, data-driven improvements.\nConduct A/B test result collection and provide analysis reports as well as strategy improvement recommendations.\nMentor and support junior and mid-level data scientists.\n任职要求 / Requirements\nQualifications\nMust have a Master’s degree or foreign equivalent degree in Data Science, Business Analytics, Computer Science, Engineering (any), Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Data Science, Business Analytics, Computer Science, Engineering (any), Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor’s, progressive related work experience.\nOf the required experience, must have 3 years of experience in each of the following:\nLeveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations that support and influence key business decisions;\nConducting forecasting and experiment analysis, and communicating quantitative insights through clear visualizations using Tableau or Excel;\nResearching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, and causal inference experiments;\nCleaning, processing, and analyzing large-scale datasets using relational databases or Hadoop systems; and\nBuilding and validating machine learning models including clustering, classification, and other predictive models to solve business problems.\nTravel Requirement: International travel required up to 20%.\nType: Full time, 40 hours/week\nLocation: Bellevue, WA\nSalary Range: $208050 - $335920 per year\nTo Apply, click the apply button below. Contact  if you have difficulty submitting resume through the website.\nTikTok 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. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.\nTikTok 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. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request","description_format":"text","description_chars":4873,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Advertising","Social Commerce","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T15:19:45Z"}],"liveness":{"score":71,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.79,"p_room":0.9,"age_days":18,"expected_fill_days":33,"reasons":["conf:6","win:mid","comp:brand"],"computed_at":"2026-09-27T04:13:12Z"},"pay":{"stated_usd_annual":335920,"is_top_pay":true},"html_url":"https://alion.io/job/tiktok-lead-data-scientist-e-commerce-recommendation-multiple-positions","json_url":"https://alion.io/job/tiktok-lead-data-scientist-e-commerce-recommendation-multiple-positions.json","meta":{"generated_at":"2026-09-27T04:13:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3931,"day_limit":5000,"remaining_today":1069,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}