Data Scientist Manager, DCC - Trust and Safety, Content Integrity, Brand Safety

, where we supercharge monetization through cutting-edge algorithms and recognition models! Our mission in the Monetization Integrity department is to transform unstructured data into actionable insights, making data acquisition and utilization effortless. Think of us as the data modeling powerhouse, turning vast amounts of data into valuable insights that drive business growth. Let's unlock the potential of data together!

About the role
We are looking for a passionate, hands-on Data Scientist Manager/Brand Safety Lead to tackle a global challenge in social media. In this role, you'll use data-driven insights to enhance user safety and content integrity, ensuring brand advertising appears in safe contexts. You will lead a team of data scientists in analyzing complex datasets and building models to protect brands from harmful content associations on TikTok.

Why choose us, what sets us apart:
-Industry Relevance: Address critical challenges faced by social media platforms, prioritized by leading companies
-Cross-Functional Respect: Gain recognition from cross-functional teams for your valuable contributions at a global scale
-Visible Impact: See the direct effects of your work and maintain control over implementation strategies
-Ownership and Autonomy: Take charge of your data, make independent decisions, and receive credit for your achievements
-Capability Recognition: Benchmark your skills against outstanding individuals, fostering a culture of excellence
-Achievement-Oriented Environment: Enjoy a workplace that celebrates your contributions to brand safety and overall success
-Tools: Access to all the resources necessary to execute your vision at the highest level, including cutting-edge technology and a team of the brightest data science talent

Responsibilities:

• Lead and mentor a team of data scientists, fostering a culture of innovation and collaboration
• Analyze large and complex datasets to identify patterns, trends, and anomalies related to user-generated content and behavior
• Design and implement predictive models to detect and mitigate risks associated with harmful content, misinformation, and policy violations
• Understand advertiser and creator engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
• Communicate findings and insights to stakeholders, presenting actionable recommendations based on data analysis
• Work closely with product, engineering, and policy teams to inform decision-making and improve trust and safety initiatives
• Stay updated on industry trends and emerging threats in digital content, continuously refining models and strategies to enhance user brand safety

Qualifications

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, or a related field
• 5+ years of experience in data science ML/AI, with (2+ years) focus on trust and safety, content moderation, or related areas in digital platforms
• 2+ years of experience leading or managing Data Science teams
• Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong experience with SQL and data manipulation tools, as well as data visualization tools (e.g., Tableau, Power BI).
• Exceptional problem-solving skills and the ability to work with ambiguity and complexity.
• Experience delivering business strategy by collaborating closely with stakeholders, setting ambitious yet achievable goals, success metrics, and roadmap.
• Excellent verbal and written communication skills, with the ability to convey complex ideas to non-technical stakeholders.
• Strong leadership qualities with a collaborative mindset and the ability to motivate and inspire others.

Preferred qualifications:
-Experience with human-in-the-loop ML, active learning, and data labeling
-Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $201000 - $395000 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.