TikTok Shop - Data Scientist - Measurement (Governance & Experience)
Apr 16, 2026 Seattle
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About the team:
Governance & Experience (GNE) is a global team dedicated to building a safe and trustworthy e-commerce ecosystem for users, sellers, and creators. We focus on protecting user experience through policies, rules, products, and systems that ensure quality and trust at scale. Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by:
- Defining and tracking core GNE metrics
- Providing insights to guide policy, product, and operations
- Building dashboards and reports to monitor marketplace health
- Analyzing data to surface risks and opportunities for improvement
Responsibilities:
- Understand ambiguous business, product and user problems of Governance & Experience business, and apply advanced scientific techniques to find solutions;
- Identify key trends, patterns, and opportunities to drive e-commerce data products adoption, engagement and incremental impacts;
- Conduct A/B testing and complex experimentation (bilateral, networks effect, etc.);
- Partner closely with key stakeholders to optimize overall measurement strategy and design.
Qualifications
Miniumum Qualifications:
- Bachelor degree in Economics, Mathematics, Statistics, Computer Science, or Analytics;
- At least 3 years of Data Science experience in Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics expertise;
- SQL & Python or R proficiency.
Preferred Qualifications:
- Advanced Degree (MS, PhD.) in Economics, Mathematics, Statistics, Analytics, etc;
- Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics experience;
- Business oriented. Have a strong business sense to proactively help Product and Operations identify key business challenges using data-driven insights;
- Strong curiosity and self-driving force;
- Excellent communication skills, an open mind, and positive critical thinking;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice;
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $170240 - $263340 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.
About the team:
Governance & Experience (GNE) is a global team dedicated to building a safe and trustworthy e-commerce ecosystem for users, sellers, and creators. We focus on protecting user experience through policies, rules, products, and systems that ensure quality and trust at scale. Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by:
- Defining and tracking core GNE metrics
- Providing insights to guide policy, product, and operations
- Building dashboards and reports to monitor marketplace health
- Analyzing data to surface risks and opportunities for improvement
Responsibilities:
- Understand ambiguous business, product and user problems of Governance & Experience business, and apply advanced scientific techniques to find solutions;
- Identify key trends, patterns, and opportunities to drive e-commerce data products adoption, engagement and incremental impacts;
- Conduct A/B testing and complex experimentation (bilateral, networks effect, etc.);
- Partner closely with key stakeholders to optimize overall measurement strategy and design.
Miniumum Qualifications:
- Bachelor degree in Economics, Mathematics, Statistics, Computer Science, or Analytics;
- At least 3 years of Data Science experience in Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics expertise;
- SQL & Python or R proficiency.
Preferred Qualifications:
- Advanced Degree (MS, PhD.) in Economics, Mathematics, Statistics, Analytics, etc;
- Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics experience;
- Business oriented. Have a strong business sense to proactively help Product and Operations identify key business challenges using data-driven insights;
- Strong curiosity and self-driving force;
- Excellent communication skills, an open mind, and positive critical thinking;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice;
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.
About the team:
Governance & Experience (GNE) is a global team dedicated to building a safe and trustworthy e-commerce ecosystem for users, sellers, and creators. We focus on protecting user experience through policies, rules, products, and systems that ensure quality and trust at scale. Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by:
- Defining and tracking core GNE metrics
- Providing insights to guide policy, product, and operations
- Building dashboards and reports to monitor marketplace health
- Analyzing data to surface risks and opportunities for improvement
Responsibilities:
- Understand ambiguous business, product and user problems of Governance & Experience business, and apply advanced scientific techniques to find solutions;
- Identify key trends, patterns, and opportunities to drive e-commerce data products adoption, engagement and incremental impacts;
- Conduct A/B testing and complex experimentation (bilateral, networks effect, etc.);
- Partner closely with key stakeholders to optimize overall measurement strategy and design.
Qualifications
Miniumum Qualifications:
- Bachelor degree in Economics, Mathematics, Statistics, Computer Science, or Analytics;
- At least 3 years of Data Science experience in Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics expertise;
- SQL & Python or R proficiency.
Preferred Qualifications:
- Advanced Degree (MS, PhD.) in Economics, Mathematics, Statistics, Analytics, etc;
- Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics experience;
- Business oriented. Have a strong business sense to proactively help Product and Operations identify key business challenges using data-driven insights;
- Strong curiosity and self-driving force;
- Excellent communication skills, an open mind, and positive critical thinking;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice;
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $170240 - $263340 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.
Responsibilities
ResponsibilitiesAbout the team:
Governance & Experience (GNE) is a global team dedicated to building a safe and trustworthy e-commerce ecosystem for users, sellers, and creators. We focus on protecting user experience through policies, rules, products, and systems that ensure quality and trust at scale. Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by:
- Defining and tracking core GNE metrics
- Providing insights to guide policy, product, and operations
- Building dashboards and reports to monitor marketplace health
- Analyzing data to surface risks and opportunities for improvement
Responsibilities:
- Understand ambiguous business, product and user problems of Governance & Experience business, and apply advanced scientific techniques to find solutions;
- Identify key trends, patterns, and opportunities to drive e-commerce data products adoption, engagement and incremental impacts;
- Conduct A/B testing and complex experimentation (bilateral, networks effect, etc.);
- Partner closely with key stakeholders to optimize overall measurement strategy and design.
Qualifications
QualificationsMiniumum Qualifications:
- Bachelor degree in Economics, Mathematics, Statistics, Computer Science, or Analytics;
- At least 3 years of Data Science experience in Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics expertise;
- SQL & Python or R proficiency.
Preferred Qualifications:
- Advanced Degree (MS, PhD.) in Economics, Mathematics, Statistics, Analytics, etc;
- Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics experience;
- Business oriented. Have a strong business sense to proactively help Product and Operations identify key business challenges using data-driven insights;
- Strong curiosity and self-driving force;
- Excellent communication skills, an open mind, and positive critical thinking;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice;
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.
Additional Information
- Salary: $170,240 – $263,340
- Posted: Apr 16, 2026