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Data Scientist - Trust & Safety

TikTok

Data Scientist - Trust & Safety

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$144,000 - $329,334

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Remote work flexibility

Annual team offsites

Parental leave program

Wellness benefits

Required Skills

TensorFlow

Apache Spark

SQL

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Tik Tok

Data Scientist

  • Trust & Safety

3+ months ago• San Jose, CA
Viewed on February 1, 2026
Apply on company site

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:

The Trust & Safety team at Tik Tok helps ensure that our global community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in policy making, product development, and human and automatic moderation to protect billions of users around the globe from harmful content and abusive behaviors.

The mission of data science is to help Trust & Safety make many good decisions using data. As a member of our team, you are instrumental in ensuring that we use data to keep our users and community safe. You will help scope out projects, ideate on new strategies, and most importantly, use data to find insights, diagnose problems and tell compelling stories. You will partner with a variety of stakeholders across operations, policy, product and engineering teams - both locally and globally.

This role may be based in the following locations: San Jose (USA) and New York City (USA).

  • What You Will do
  • Work with large and complex data sets to support project execution and strategic planning
  • Design and monitor core metrics; perform root cause analysis to explain drivers
  • Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations and overseeing the macro direction of the business
  • Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough
  • Use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents
  • Develop metrics and visualization tools to evaluate risks of the platform and the impact of safety strategies

Qualifications:

Minimum Qualifications:

  1. 5+ years of experience in data science, analytics or quantitative analysis
  2. Experience working with SQL, ETL, R/Python, Tableau, Excel
  3. Experience building data infrastructure and implementing reporting solutions
  4. Experience with creating data visualizations to communicate metric performance
  5. Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on
  6. Ability to solve problems using quantitative approaches and strong communication skills across technical and non-technical audiences to communicate complex concepts and analytical results to drive business impact
  7. Degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering); proficient in English as a working language

Preferred Qualifications:

  1. Experience of working in online content platforms, Trust & Safety or risk management
  2. Experience working with international partners in different time zones
  3. Passion for social technology products and a curiosity to learn and grow with a fast paced company

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For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $144000 - $329334 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

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. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

  3. Exercising sound judgment.

Client-provided location(s): San Jose, CAJob ID: Tik Tok-7555965288337525010Employment Type: OTHERPosted: 2025-10-01T20:19:34Apply 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.
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  • 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
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  • Women's Community01:31Working at Tik Tok
  • Women's Empowerment01:45Working At Tik Tok
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  • Diversity, Equity and Inclusion with BLXCK
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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