Data Scientist Intern; TikTok Shop User Product DS PhD

Data Scientist Intern (Tik Tok Shop User Product DS) - 2026 Start (PhD)

Location:

Seattle

Employment Type:

Intern

Job Code: A13570

Tik Tok’s Global E‑commerce Data Science team powers Tik Tok 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. Tik Tok 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 Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines.
• Proficient in data analysis tools and languages such as SQL, Python, or R.
• Practical experience with data querying and scripting languages (e.g. SQL, Python, R) and basic statistical/data analysis tools.
• Familiar with statistical modeling, A/B testing, or experiment design concepts, drawn from coursework, projects, or internships.

• Familiarity with machine learning frameworks or predictive modeling.
• Prior internship or project experience in product analytics, A/B testing, or data science roles.
• Strong communication, collaboration, and storytelling skills—able to translate technical findings into product recommendations.

The hourly rate range for this position in Seattle is $52.25- $52.25.

Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) candidates, qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.