Jobs

Data Scientist (Content Ecology & Creator) - E-commerce Governance
Seattle, WA
·
On-site
·
Full-time
·
1mo ago
Compensation
$129,960 - $246,240
Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Flexible PTO policy
•Remote work flexibility
•Learning and development stipend
Required Skills
Airflow
Apache Spark
SQL
Data Scientist (Content Ecology & Creator) - E-commerce Governance
1 week ago• Seattle, WA
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
Responsibilities:
About the team
We are the Data Scientists dedicated to Creator Governance for Tik Tok Shop. We act as the strategists and health monitors of the ecosystem. We combine data analysis, lightweight machine learning, and metric construction to solve critical business problems. We define what "Healthy" means for the platform, build the strategies to enforce it, and visualize the pulse of our global creator community.
- Why this role?
- Hybrid Impact: You won't just analyze data; you will build strategies (rules/models) to stop bad actors and design the metrics that guide the entire team.
- Full Cycle Ownership: From discovering a new risk pattern -> building a detection strategy -> monitoring its success via dashboards.
- Ecosystem Guardian: You will be the first to know when the ecosystem health fluctuates and the one who identifies why.
What You'll Do:
Governance Strategy & Risk Mining:
- Pattern Discovery: Deep dive into creator behaviors and content logs to identify new abuse patterns (e.g., automated spam, matrix accounts, engagement farming).
- Strategy Construction: Translate insights into executable governance strategies using Rules, Thresholds, and Risk Scores. Quickly deploy tactics to mitigate sudden attacks.
- Practical Machine Learning: Develop agile, offline models (e.g., XGBoost, Random Forest, Anomaly Detection) and use Clustering to uncover organized bad-actor syndicates that simple rules might miss.
-
Metric System & Dashboard Construction:
- North Star Definitions: Define and standardize core metrics for Creator Governance, such as "Low-Quality Content Rate," "Creator Violation Rate," and "Ecosystem Health Index."
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- Dashboarding: Build and maintain comprehensive data dashboards (using Tableau, Metabase, or internal tools) to visualize risk trends, strategy performance, and daily operational status.
- Automated Monitoring: Design alert systems that automatically flag anomalies in the data (e.g., a sudden spike in new account registrations or a drop in high-quality content supply).
-
Performance Tracking & Root Cause Analysis:
- Strategy Evaluation: Continuously monitor the Precision and Recall of governance strategies. Analyze false positives to minimize impact on good creators.
- Deep-Dive Analysis: When core metrics fluctuate (e.g., AIGC impact, GMV drops or complaint rates rise), conduct rapid root-cause analysis to determine if it is caused by governance interventions or external factors.
Qualifications:
Minimum Qualifications:
-
Bachelor's degree or above in computer science or related field
-
Expert-level SQL is a must. You can handle massive, complex datasets efficiently
-
Strong experience with BI/Dashboarding tools (e.g., Tableau, PowerBI, Metabase). You know how to design charts that tell a clear story
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Proficient in Python (Pandas, Scikit-learn). Hands-on experience with Tree-based models (XGBoost/LightGBM) and Unsupervised Learning (Clustering) for risk scoring and segmentation
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1+ years of experience in Data Science, Analytics, or Risk Strategy
-
You can explain complex data trends to non-technical stakeholders (Operations/Policy teams)
-
Preferred Qualifications
-
Experience in Trust & Safety, Anti-Fraud, E-commerce Governance, or Content Operations
-
Experience building Metric Systems from scratch: knowing how to break down a high-level goal into trackable daily indicators
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You care about solving the business problem, not just using the most complex model
**Job InformationFor Pay Transparency Compensation Description (annually)**The base salary range for this position in the selected city is $129960 - $246240 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:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
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Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
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Exercising sound judgment.
Client-provided location(s): Seattle, WA
Job ID: Tik Tok-7595739970704017717
Employment Type: OTHER
Posted: 2026-01-20T19:49:26
Apply 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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About TikTok

TikTok
Late StageA 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
News & Buzz
25-Year-Old TikTok Star Khaby Lame Sells His Media Company for Nearly $1B - observer.com
Source: observer.com
News
·
5w ago
TikTok users say they're being censored after new owners were announced. The company says it's a tech issue. - Reason Magazine
Source: Reason Magazine
News
·
5w ago
TikTok users can't upload anti-ICE videos. The company blames tech issues
HN
·
5w ago
·
1,490
·
1000
TikTok is investigating why some users can't write 'Epstein' in messages - NPR
Source: NPR
News
·
5w ago