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Data Science intern (TikTok-Product-Data Science-UG Mid-Platform-US) - 2025 Start (BS/MS)

TikTok

Data Science intern (TikTok-Product-Data Science-UG Mid-Platform-US) - 2025 Start (BS/MS)

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Wellness benefits

Learning and development stipend

Parental leave program

Health, dental, and vision coverage

Annual team offsites

Required Skills

Python

TensorFlow

Airflow

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

Team Introduction
Tik Tok-Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in Tik Tok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.

We are looking for talented individuals to join us for an internship in 2025. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at Tik Tok.

Internships at Tik Tok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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Responsibilities:

  • Participate in the construction and optimization of long-term user value (LTV) models and other user behavior prediction models.
  • Use machine learning, deep learning and other techniques for data mining, and optimize user portraits and behavior analysis.
  • Design A/B tests and other causal inference methods to evaluate the model's performance and promote the implementation of the model in business scenarios.
  • Process and clean massive amounts of data, build high-quality datasets, and improve data quality.
  • Collaborate with product and data engineering teams to promote the implementation of data-driven decision-making.

Qualifications:

Minimum Qualifications:

-Education Background: Academic background in quantitative fields such as mathematics, statistics, economics, or computer science.
-Analytical Skills: Previous internship or project experience in business analysis or data-related roles, with the ability to analyze data and generate actionable insights. Experience in the ads or marketing industry is a plus.
-Availability: Able to intern at least 3 days per week for a minimum of 3 months.

Preferred Qualifications:

-Technical Skills: Familiarity with Excel, SQL, Python, or R, and foundational knowledge of data visualization tools like Tableau, Power BI, and Think-Cell.
-Communication: Business-level English proficiency with strong verbal and written skills to effectively engage with stakeholders and present findings to non-technical audiences.
-Problem-Solving & Teamwork: Strong problem-solving abilities, attention to detail, and the capability to collaborate effectively with cross-functional teams to implement solutions and drive results.

Client-provided location(s): San Jose, CA

Job ID: Tik Tok-7473021069018237191

Employment Type: INTERN

Posted: 2025-02-21T00:56:36
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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