Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Data Scientist - Analytics, Trust & Safety - San Jose

AT TikTok
TikTok

Data Scientist - Analytics, Trust & Safety - San Jose

San Jose, CA

Responsibilities

About the Team
As a Data Scientist in TikTok's Trust and Safety team, you will drive data driven decisions and forming roadmaps in ensuring that TikTok 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, algo and engineering teams - both locally and globally. You will work with stakeholders to implement strategies and design products to proactively detect and disarm safety incidents, while protecting user experience.

Want more jobs like this?

Get Data and Analytics jobs in San Jose, CA delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


Responsibilities:
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations, driving the implementation of data analysis value, and overseeing the macro direction of the business;
- Support strategic planning and execution for long-term business plans through in-depth market research;
- Design and establish indicator systems for safety and risks of the platform, monitor and optimize risk coverage in each link, measure the performance of content safety strategies and facilitate decision-making;
- Build and enhance risk detection models or toolings to strengthen proactive enforcement and automation of trust and safety policies;
- Drive quantitative projects from start to finish, including developing analytical frameworks, distilling actionable insights and working with XFN partners to drive business impact.

Qualifications

Minimum Qualifications:
- Working level competency in one or more programming languages including SQL, Python is required;
- Understanding of ML models and how they can be leveraged to act upon a range of content and safety risks;
- 3+ years of working experience in data science or quantitative analysis;
- Experience working on consumer-facing products, with a keen sense of malicious and inappropriate activities that occur on social media;
- Ability to solve problems using quantitative approaches and communicate complex concepts and analytical results to drive business impact.

Preferred Qualifications:
- Experience in content safety or risk management is preferred

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $144000 - $329333 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, CA, USA
Job ID: TikTok-7489179198050535687
Employment Type: Other

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 TikTok.