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

TikTok

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

TikTok

Seattle, WA

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Unlimited Pto

Learning

Parental Leave

필수 스킬

Python

TensorFlow

PyTorch

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile

Responsibilities

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.

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at Tik Tok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at Tik Tok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

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 Tik Tok's technical online assessment

Responsibilities:

  • 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.

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 (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.

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

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Client-provided location(s): Seattle, WA

Job ID: Tik Tok-7532254890627696903

Employment Type: INTERN

Posted: 2025-08-07T04:37:22
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.

Apply on company site

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연락처 및 위치

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

TikTok 소개

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.7

문화

4.1

커리어

3.2

경영진

2.9

68%

친구에게 추천

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

연봉 정보

49개 데이터

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1개 리포트

$273,000

총 연봉

기본급

$210,000

주식

-

보너스

-

$273,000

$273,000

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit