TikTok Shop - Data Science Leader

$227,250 - $459,040/Yr

Tiktok - Seattle, WA

Full-time - Senior

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Data Science Leader at TikTok, you will play a pivotal role in shaping the e-commerce experience on our platform. The e-commerce industry has seen tremendous growth, and TikTok is poised to deliver an innovative and user-friendly shopping experience to millions of loyal users globally. In this role, you will be responsible for conducting comprehensive data analysis of TikTok's e-commerce global user products, including shoptab products and transaction products. Your insights will drive product optimization and enhance the overall user experience. You will measure the performance of each e-commerce product across various countries and regions, providing actionable suggestions for product improvements. Additionally, you will design and maintain an event tracking system for each module of our global e-commerce products, ensuring accuracy and reliability in data collection. Your ability to describe business situations, explain fluctuations, and provide valuable insights through reports will be crucial in guiding strategic decisions. As a Data Science Leader, you will also design monitoring systems to reflect real-time changes in business performance and conduct A/B testing to determine optimal product designs based on data performance. Collaboration with Product Management, Operations, and Research & Development teams will be essential to implement optimization schemes that lead to tangible business growth. You will work closely with R&D and Data PM to build user-friendly data products that support our business objectives.

Responsibilities

• Responsible for data analysis of TikTok e-commerce's global user products independently, including shoptab products, transaction products, etc.
• Measure performance of each e-commerce product across countries and regions, and provide product optimization suggestions.
• Design the event tracking system for each module of global e-commerce products, verify the accuracy of event tracking system after release, and maintain the event tracking system and specifications in subsequent versions.
• Describe the situation of business, explain the fluctuations of business and provide valuable suggestions with reports.
• Design the monitoring systems independently to reflect any changes of business in time.
• Design A/B test, and give the optimal product design scheme according to the data performance after launch.
• Cooperate with PM/Ops/R&D teams to promote the implementation of optimization schemes, and to bring about the actual improvement and growth of business.
• Cooperate with R&D and Data PM to build data systems and user-friendly data products to support business.

Requirements

• Bachelor degree or above, major in mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation.
• At least 7 years of working experience in data science track, and have a good business sense in e-commerce; product analysis is preferred.
• At least 3 years of people management experience required.
• Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling.
• Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice.
• Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.
• Global working experience or analytical experience is preferred.
• Written and verbal English skills are required for daily communications with global teams.
• Have a strong learning ability and curiosity; familiar with starting a new business; able to lead a team to support business.
• Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

Nice-to-haves

• Global working experience or analytical experience is preferred.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.