Tiktok-posted 4 months ago
Intern
Seattle, WA
5,001-10,000 employees

TikTok's Global E-commerce Data Science team powers TikTok Shop by building analytical frameworks and product metrics to drive growth, improve operational efficiency, and optimize the buyer, seller, and creator experiences across regions. They identify trends, user or merchant behavior patterns, and opportunities for business optimization through exploratory analysis and proactive insights generation. The team designs and interprets A/B tests and causal experiments to inform product improvements for user growth, transaction funnels, and feature adoption. They also develop dashboards and data pipelines that enable cross-functional teams-Product, Operations, and Engineering-to monitor product performance and implement data-driven changes easily. TikTok sets a culture focused on statistical rigor, ownership, and scalable machine learning methods in e-commerce decision-making at global scale.

  • Analyze product usage and engagement data (e.g., retention, conversion, feature adoption) to identify trends and actionable insights
  • Support design and evaluation of A/B tests or feature experiments; compute lift, assess statistical significance, and help interpret outcomes
  • Conduct exploratory data analysis using SQL and Python to detect patterns, anomalies, or feature-driven behaviors
  • Create dashboards, visualizations, and summary reports to communicate findings to product, engineering, and design teams
  • Collaborate cross-functionally with product managers and engineers to implement metrics and iterate on insights; document analysis and methodologies.
  • Currently pursuing a PhD in a relevant field such as Data Science, Statistics, Computer Science, or a related quantitative discipline
  • Proficiency in SQL and Python for data analysis
  • Experience with A/B testing and statistical analysis
  • Strong analytical skills and ability to interpret complex data sets
  • Excellent communication skills to present findings to cross-functional teams.
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with machine learning concepts and techniques
  • Previous internship experience in data science or analytics.
  • Hands-on learning experience
  • Networking opportunities with industry experts
  • Participation in community-building and development events.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service