Responsibilities
The Global Product & RD team is building up core TikTok products to ensure TikTok continues a healthy growth, deliver the best product experience to all of our users, build the most attractive features to help users enjoy their time on TikTok, earn trust in privacy protection, and more.
The Global Product team is growing exponentially. The business lines are ranging from Monetization Technology, Data, Machine Learning, System, Infrastructure, AR Effects, Security Technology and more.
The Product Data Analytics Team analyses a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. Our team will work through different business scenarios including improving TikTok In-App Search user experiences, Creator ecosystem, etc.. In addition, it is important to manage the data life cycle to ensure problems are quantitatively measured to propose logical solutions.
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Responsibilities:
1. Responsible for data analysis work related to international product search business.
2. Lead a team in conducting in-depth analysis within the business domain. Identify optimization points that can enhance the user search experience across various products based on business logic. Provide clear and actionable optimization solutions, and collaborate with product, operations, algorithm, and development teams to implement these solutions, resulting in actual business growth.
3. Lead the team in designing and analyzing various A/B experiments within the search business, evaluating product optimization outcomes, assessing market activity impact, analyzing fluctuations in key metrics, and establishing data systems.
4. Stay informed about industry trends and gain insights into the search business. Offer directional analysis guidance to the search business, participate in critical business decisions, and provide solutions to key and challenging issues within the search business.
5. Responsible for building specialized models to support the business.
Qualifications
Minimum Qualifications:
- Bachelor's degree or higher, with a preference for majors in mathematics, statistics, or computer-related fields.
- Data-sensitive with the ability to quickly grasp business concepts, uncover business details, and establish connections between data.
- Proficient in SQL, with experience in R, Python, or other scripting languages.
- Possess machine learning capabilities, including regression, classification, and clustering.
Preferred Qualifications:
- Experience in internet data analysis is a plus.
- Prior experience in search business and team management is a plus.
- Strong communication and teamwork skills.
- Strong learning ability and curiosity. Keen interest in the internet industry with a desire for long-term development within the field.
#LI-Hybrid
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $176355 - $329333 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.