TikTok Shop - Data Scientist, Seller and Platform LATAM Operations

Responsibilities

Our team's mission is to utilize the power of data science to attract merchants and empower them on our platforms to thrive in the digital marketplace. We leverage data science capabilities and interpret data insights to develop tailored business solutions and strategies that drive seller acquisition, onboarding, retention, and expansion. We also aim to drive better platform and product experience based on the understanding of global merchant needs and behaviors, through continuous product development and optimization.

Responsibilities:
- Responsible for data analysis for TikTok e-commerce's global business products independently, including merchant product, merchandise product, etc.; and data analysis of e-commerce overseas operation strategy including Merchant Strategy, etc.;
- Measure performance of merchant product launches in overseas countries, and provide product optimization suggestions;
- Design the event tracking system for each module of global e-commerce products, verify the accuracy of event tracking system after release, and maintain the event tracking system and specifications in subsequent versions;
- Describe the situation of business, explain the fluctuations of business metrics and provide valuable suggestions with reports;
- Design the monitoring systems independently to reflect any changes of business in time;
- Design A/B test, and give the optimal product design scheme according to the data performance after launch;
- Follow up the data analysis of local operation teams in several overseas markets, support the operation effect and give the follow-up optimization suggestions;
- Cooperate with the product team to promote the implementation of optimization scheme, and to bring about the actual improvement and growth of business;
- Cooperate with R&D and Data Engineers to build data infra and user-friendly data products to support business.

Qualifications

Minimum Qualifications:
- BA/BS degree or above
- Casual inference and modeling skills
- SQL / Python

Preferred Qualifications:
- Bachelor degree or above, major in mathematics, statistics, computers is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
- Proficient in SQL and tableau and familiar with Python or R for data analysis.
- At least 3 years of working Experience in data analysis, and have a good business sense in ecommerce product analysis is preferred;
- Overseas working experience or analytical experience is preferred;
- Have a strong learning ability and curiosity; ability to quickly pick up domain knowledge in new areas, and can lead a small project team to support business.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $170240 - $277970 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: