Data Scientist, Post Purchase Experience - TikTok Shop
Sep 7, 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 and Experience(GNE) Data Science team works closely with the GNE ops teams in each region, is aiming to support the GNE ops team to make TikTok shop a safe and trustworthy platform for customers, sellers and influencers. What you can get here is totally different from a pure shelf-based e-commerce business model. Join us, and let's change the way people shop online!
Responsibilities:
- Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators;
- Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term;
- Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response;
- Proactively generate insights and data solutions for business partners to achieve the business goal; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact .
Qualifications
Minimum Qualifications:
- At least 2 years of working experience in data science
- Proficient in SQL, Python or R, and data visualization tools;
- Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization.
Preferred Qualifications:
- A Bachelor's degree or above, majoring in quantitative field statistics is preferred;
- E-commerce or online marketplace customer experience/post purchase experience is strongly preferred;
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies;
- To succeed in the role, you need to be a proactive, self-driven and impact-driven person;
- Be able to work with cross-functional teams in a fast-paced environment.
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 and Experience(GNE) Data Science team works closely with the GNE ops teams in each region, is aiming to support the GNE ops team to make TikTok shop a safe and trustworthy platform for customers, sellers and influencers. What you can get here is totally different from a pure shelf-based e-commerce business model. Join us, and let's change the way people shop online!
Responsibilities:
- Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators;
- Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term;
- Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response;
- Proactively generate insights and data solutions for business partners to achieve the business goal; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact .
Minimum Qualifications:
- At least 2 years of working experience in data science
- Proficient in SQL, Python or R, and data visualization tools;
- Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization.
Preferred Qualifications:
- A Bachelor's degree or above, majoring in quantitative field statistics is preferred;
- E-commerce or online marketplace customer experience/post purchase experience is strongly preferred;
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies;
- To succeed in the role, you need to be a proactive, self-driven and impact-driven person;
- Be able to work with cross-functional teams in a fast-paced environment.
About the team:
Governance and Experience(GNE) Data Science team works closely with the GNE ops teams in each region, is aiming to support the GNE ops team to make TikTok shop a safe and trustworthy platform for customers, sellers and influencers. What you can get here is totally different from a pure shelf-based e-commerce business model. Join us, and let's change the way people shop online!
Responsibilities:
- Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators;
- Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term;
- Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response;
- Proactively generate insights and data solutions for business partners to achieve the business goal; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact .
Qualifications
Minimum Qualifications:
- At least 2 years of working experience in data science
- Proficient in SQL, Python or R, and data visualization tools;
- Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization.
Preferred Qualifications:
- A Bachelor's degree or above, majoring in quantitative field statistics is preferred;
- E-commerce or online marketplace customer experience/post purchase experience is strongly preferred;
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies;
- To succeed in the role, you need to be a proactive, self-driven and impact-driven person;
- Be able to work with cross-functional teams in a fast-paced environment.
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 and Experience(GNE) Data Science team works closely with the GNE ops teams in each region, is aiming to support the GNE ops team to make TikTok shop a safe and trustworthy platform for customers, sellers and influencers. What you can get here is totally different from a pure shelf-based e-commerce business model. Join us, and let's change the way people shop online!
Responsibilities:
- Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators;
- Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term;
- Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response;
- Proactively generate insights and data solutions for business partners to achieve the business goal; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact .
Qualifications
QualificationsMinimum Qualifications:
- At least 2 years of working experience in data science
- Proficient in SQL, Python or R, and data visualization tools;
- Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization.
Preferred Qualifications:
- A Bachelor's degree or above, majoring in quantitative field statistics is preferred;
- E-commerce or online marketplace customer experience/post purchase experience is strongly preferred;
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies;
- To succeed in the role, you need to be a proactive, self-driven and impact-driven person;
- Be able to work with cross-functional teams in a fast-paced environment.
Additional Information
- Salary: $170,240 – $263,340
- Posted: Sep 7, 2026