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Data Scientist - Trust and Safety - Los Angeles

TikTok

Data Scientist - Trust and Safety - Los Angeles

TikTok

Los Angeles, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$167,378 - $312,867

Benefits & Perks

Remote work flexibility

Top Tier compensation with equity

Parental leave program

Annual team offsites

Required Skills

Python

Airflow

TensorFlow

Data Scientist

  • Trust and Safety
  • Los Angeles

3+ months ago• Los Angeles, CA

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

Responsibilities:

As a Data Scientist in Tik Tok's Trust and Safety team, you will drive data driven decisions and forming roadmaps in ensuring that Tik Tok remains a safe, trustworthy, and risk-free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large-scale safety issues. You will scope out projects, use ground-truth data to inform strategies and influence product design. You will partner with a variety of stakeholders across the product, operations, policy, and engineering teams - both locally and globally. You will work with the stakeholders to implement strategies and design product to proactively detect and disarm safety incidents, while protecting creator experience.

It is possible that this role will be exposed to harmful content as part of the core role/as part of project/ in response to escalation requests/by chance. Some content viewed may violate our community guidelines, which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; murder.

Responsibilities:

  • Design and implement comprehensive metrics and quantitative measurement frameworks to evaluate the effectiveness of risk control policies. Continuously refine measurement methodologies to track risk control capabilities accurately.
  • Lead strategic planning by analyzing industry trends, competitive landscapes, and internal data. Translate insights into actionable business plans to improve platform safety and policy operability.
  • Partner with stakeholders to achieve targets using data-driven approaches, such as monitoring policy impacts on risk control capabilities, leveraging statistical methods to establish an efficient decision-making system, standardizing reusable analytical methodologies and tools to enhance team efficiency.
  • Collaborate with XFN teams to align priorities, communicate data-backed recommendations, and drive implementation. Foster organization-wide adoption of data-inspired practices.

Qualifications

Minimum qualifications:

  • Bachelor's degree or above in mathematics or statistics-related majors, with a solid foundation in statistical, hypothesis testing theories and experimental design;
  • Solid experience in quantifying complex problems with many impacting factors, and use statistical methods to seek answers, such as designing experiments, making causal inference;
  • Proficient in data analysis and statistical analysis tools such as SQL, Python, R, Excel and Tableau;
  • 2+ years of experience in data science related industry, with rich experience in designing success metrics and A/B testing and a deep understanding of risks in globalized products.

Preferred Qualifications:

  • Ability to translate technical findings into clear, strategic recommendations for non-technical stakeholders;
  • Proven track record of working cross-functionally to drive data-informed initiatives in fast-paced environments;
  • Acute ability to grasp company product-related industry technology development trends, and possess strong macro analysis and decision-making capabilities.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $167378 - $312867 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:

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  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): Los Angeles, CA

Job ID: Tik Tok-7498580389628266770

Employment Type: OTHER

Posted: 2025-04-30T00:33:52
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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)

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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