Responsibilities

As the core team of TikTok Shop, Content Data Science team focuses on improving user-side product experience, user interaction, and transaction conversion of shoppable content. We study how users discover, consume, and interact with shoppable content, and how these behaviors ultimately drive purchasing decisions. We work closely with Product, Operation, Recommendation, and Engineering teams to use data and experimentation to optimize content formats, interaction design, and distribution strategies. At the same time, we build scalable metrics frameworks, analytical methodologies, and data tools to support long-term decision making in the e-commerce content domain. Responsibilities: - Be responsible for data analysis work related to TikTok Shop shoppable content and user growth business and provide insightful analytical capabilities for the business - Accurately and comprehensively understand the business, assist in setting business growth goals, decompose key achievement paths, and implement robust process monitoring and early warning measures - Dissect the driving factors of business growth, diagnose growth-related issues, investigate and attribute data anomalies, and build automated anomaly attribution tools - Conduct special analysis on critical issues, gain insights into the essence of problems, and propose data-driven optimization suggestions or solutions - Demonstrate excellent organizational and collaboration skills; partner with product R&D, data and algorithm teams to support strategy iteration through rigorous analysis, data mining, causal inference, A/B testing and other methods, drive the implementation of optimization plans, quantitatively evaluate strategy effectiveness, and boost key business metrics - In the course of supporting business development, think and summarize proactively, and precipitate growth analysis methodologies and data efficiency tools

Qualifications

Minimum Qualifications: - Bachelor's degree or above in Computer Science, Statistics, Mathematics or related fields, with 5+ years of work experience - Proficiency in statistical analysis tools such as SQL, Python and R; mastery of analytical methods including regression, classification, clustering, machine learning, A/B testing and causal inference - Excellent communication and logical thinking skills, with structured thinking, acute data insight, rigorous attention to detail and a strong sense of curiosity - Strong organizational and collaboration capabilities, self-motivated work attitude and resilience Preferred Qualifications: - Experience in user product analysis or the data science field in internet companies - Industry experience related to content supply, consumption and user growth

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $208050 - $355680 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.