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Data Solutions Project Intern (Data Cycling Center) - 2026 Start (BS/MS)

TikTok

Data Solutions Project Intern (Data Cycling Center) - 2026 Start (BS/MS)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Competitive salary and equity package

Parental leave

Professional development budget

Comprehensive health, dental, and vision insurance

Flexible Hours

Equity

Parental Leave

Learning

Healthcare

Required Skills

Python

JavaScript

TypeScript

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

About the Team:

The success of Tik Tok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period (full-time).

We're looking for highly capable Data Solutions Interns to build the next generation of data solutions in support of industry leading products and services in the space of Monetization and Integrity that Tik Tok provides. You will be assessing business needs, innovating across your given resources, and navigating across both business and technical XFN stakeholder teams.

  • Drive analytics and insights to aid business decisions and the quantification impact of initiatives through experimentation and framework testing
  • Create insightful reports to track labelling business KPIs, monitor quality performance, and recommend best practices
  • Work with our data scientist to support analytics projects like predicted performance, handling time, etc.
  • Conduct research and market sizing of industries deriving actionable recommendations
  • Track the progress of data labeling projects and manage key metrics
  • Support testing and evaluation of core capabilities like agentic frameworks etc.

Qualifications

  • Minimum Qualifications
  • Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Engineering, Data analytics, Economics or similar STEM courses
  • Solid foundations of statistics and data science / analytics projects management is preferred
  • Outstanding skills of communication, collaboration, project management, problem solving, and an excellent team player
  • Strong interest in process optimisation and improvement

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  • Highly conscientious with good attention to detail- Experience in artificial intelligence, computer vision, and machine learning techniques and other fields are highly preferredPreferred Qualifications- Experience with writing and optimizing SQL, and with one general purpose programming language (e.g., Java, C/C++, Python)- Experience in data analytics and data visualizationBy 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

Client-provided location(s): Singapore

Job ID: Tik Tok-7519721555447892232

Employment Type: INTERN

Posted: 2025-11-26T20:28:56
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

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures