Data Scientist - TikTok Integrity and Safety (San Jose)

TikTok Inc.; San Jose (CA); On-site; USD 137,000 - 277,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

TikTok Inc. in San Jose, CA seeks a data scientist to advance platform safety through data-driven insights.

You will build core metrics for content safety, live content safety, account security, and privacy compliance, and support moderation platforms to protect millions of users worldwide. Collaborate with product, operations, R&D, and algorithms teams; apply A/B testing and causal inference; design reusable analytics tools and data products to empower business teams with faster, more reliable

Qualifications

• 1+ years of data science experience with a Bachelor's degree or above in statistics, data science, economics, mathematics, or a related field
• Proficient in SQL, skilled in using data analysis tools such as Python/R, and possesses excellent visualization skills
• Familiar with common machine learning algorithm principles and understands methods such as causal inference and A/B testing
• Proficient in English as a working language

Responsibilities

• Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification.
• Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies.
• Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities.
• Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team.

Skills

SQL

Python/R

Visualization

Causal inference

A/B testing

English proficiency

Education

Bachelor's degree or higher in Statistics/Data Science/Economics/Mathematics

Job description

Responsibilities

About the Team

Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.

Responsibilities - What You'II Do

• Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification. Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
• Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. You will deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
• Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. You will work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
• Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.

Qualifications

Minimum Qualifications

• 1+ years of data science experience and Bachelor's degree or above in statistics, data science, economics, mathematics, or a related field
• Proficient in SQL, skilled in using data analysis tools such as Python/R, and possesses excellent visualization skills
• Familiar with common machine learning algorithm principles and understands methods such as causal inference and A/B testing
• Proficient in English as a working language

Preferred Qualifications

• Familiarity with Internet/content platform safety business
• Excellent logical thinking, problem analysis and solving abilities, as well as good communication, expression, and cross-team collaboration skills
• Experience in content security, integrity, 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 $136800 - $277200 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.