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

TikTok; Seattle (WA); On-site; USD 59,383 - 84,576; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

Paid sick time

Job summary

TikTok is seeking interns for its Global E-commerce Data Science team in Seattle. This role involves analyzing product usage data, designing A/B tests, and performing exploratory data analysis using SQL and Python. Candidates must be pursuing a PhD in a quantitative discipline and have strong communication skills.

The hourly compensation for this role is $52.25, along with benefits including health insurance and paid holidays. Interns who are not fully remote may also be eligible for a housing allowance.

Qualifications

• Proficient in data analysis tools and languages such as SQL and Python.
• Practical experience with data querying and statistical analysis tools.
• Familiar with statistical modeling and A/B testing concepts.

Responsibilities

• Analyze product usage and engagement data to identify trends.
• Design and evaluate A/B tests; interpret outcomes.
• Create dashboards and visualizations to communicate findings.

Skills

Data analysis tools (SQL, Python, R)

Statistical modeling

A/B testing

Communication skills

Education

Currently pursuing a PhD in Computer Science or related field

Tools

SQL

Python

Job description

Responsibilities

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.

Key responsibilities include:

• Analyzing product usage and engagement data (e.g., retention, conversion, feature adoption) to identify trends and actionable insights.
• Designing, supporting, and evaluating A/B tests or feature experiments; computing lift, assessing statistical significance, and interpreting outcomes.
• Conducting exploratory data analysis using SQL and Python to detect patterns, anomalies, or feature‑driven behaviors.
• Creating dashboards, visualizations, and summary reports to communicate findings to product, engineering, and design teams.
• Collaborating cross‑functionally with product managers and engineers to implement metrics and iterate on insights; documenting analysis and methodologies.

Summer Start Dates

• May 11th, 2026
• May 18th, 2026
• May 26th, 2026
• June 8th, 2026
• June 22nd, 2026

Online Assessment

Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

Qualifications

Minimum Qualifications

• 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 and basic statistical/data analysis tools.
• Familiar with statistical modeling, A/B testing, or experiment design concepts, drawn from coursework, projects, or internships.

Preferred Qualifications

• 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.

Compensation

The hourly rate for this position in the selected city is $52.25.

Benefits

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

Equal Opportunity and Background Check

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. A criminal history may have an adverse impact on duties that involve unsupervised contact with clients and/or colleagues, handling confidential information, and exercising sound judgment.