Data Science Intern – Global E-commerce

Job Description

Data Scientist Intern (TikTok Shop Business Product DS) – 2026 Start (BS/MS) | TikTok

The Tone:
This is an internship at TikTok, available across various global offices, with potential opportunities in Los Angeles. TikTok is a leading platform for short-form mobile video, dedicated to inspiring creativity and bringing joy to its global community. This specific role within the Global E-commerce Data Science team is crucial for applying rigorous data analysis and scientific methods. The intern will help drive business growth, enhance operational efficiency, and improve the experience for users, merchants, and creators worldwide.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: Various Global Locations
• Pay: $33.25–$52.25 hourly
• Team: TikTok Global E-commerce Data Science team
• Mission: Leverage data analysis and scientific methodologies to drive business growth, enhance operational efficiency, and improve user, merchant, and creator experience across TikTok’s global e-commerce.
• Tech Stack: SQL, Python, R, Scikit-learn, TensorFlow, PyTorch, Hive, Spark, Hadoop

What You’ll Actually Do
• Analyze: Conduct data analysis for TikTok’s global e-commerce products, covering aspects like creators & merchants, content e-commerce, promotion tools, and transaction flows.
• Evaluate: Design and analyze A/B tests, assess product optimizations, evaluate campaign performance, monitor key metric fluctuations, and review client-side version updates.
• Strategize: Analyze country-specific factors influencing product optimization and business growth, then propose actionable product improvement solutions aligned with business direction.
• Collaborate: Work closely with product managers, operations, engineering, and algorithm teams to implement data-driven strategies and deliver measurable business impact.
• Build: Construct and maintain e-commerce product metric systems, collaborate with data engineering teams to build foundational data pipelines and visual dashboards for business stakeholders.

The Must-Haves
• Background: Currently pursuing an Undergraduate or Master’s degree in Computer Science, Statistics, Econometrics, Mathematics, or other quantitative disciplines.
• Experience: Solid hands-on experience in A/B testing, regression analysis, and causal inference, with a commitment to a 12-week full-time work period during Summer or Fall 2026.
• Skills: Proficient in data analysis tools and languages such as SQL, Python, or R, coupled with strong data visualization skills and the ability to clearly communicate analytical insights through dashboards and reports.
• Bonus: Currently pursuing an Advanced Degree (MS), experience in cross-border or international e-commerce data analysis or modeling, familiarity with machine learning frameworks or predictive modeling tools like Scikit-learn, TensorFlow, or PyTorch, or experience with big data technologies such as Hive, Spark, or Hadoop.