Product Analytics Scientist Intern (PhD) – Seattle

TikTok; Seattle (WA); Sur place; USD 72 000 - 73 000; Plein temps

Avantages offerts par ce poste

Health insurance

Life insurance

Wellbeing benefits

Housing allowance

Paid holidays

Résumé du poste

TikTok is seeking a Data Scientist Intern (PhD) for the TikTok Shop User Product DS team in Seattle this summer. You will analyze product usage and engagement data, support A/B tests, and communicate insights to product and engineering teams.

You'll work with SQL, Python, and other analytics tools to build dashboards, run exploratory analyses, and help shape metrics used to improve product decisions. This internship offers hands-on experience in a fast-paced tech environment.

Qualifications

• Pursuing a PhD in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines.
• Proficient in data analysis tools such as SQL, Python, or R.
• Practical experience with data querying and scripting languages and basic statistical/data analysis tools.

Responsabilités

• Analyze product usage and engagement data to identify trends and actionable insights.
• Support design and evaluation of A/B tests or feature experiments; compute lift and assess statistical significance.
• 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.

Connaissances

SQL

Python

R

Statistics

Outils

Pandas

Plotly

Description du poste

TikTok is seeking a Data Scientist Intern (PhD) for the TikTok Shop User Product DS team in Seattle this summer. You will analyze product usage and engagement data, support A/B tests, and communicate insights to product and engineering teams.

You'll work with SQL, Python, and other analytics tools to build dashboards, run exploratory analyses, and help shape metrics used to improve product decisions. This internship offers hands-on experience in a fast-paced tech environment.