Responsibilities

We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our mission is to drive monetization and sustainable revenue growth for TikTok through data science. Given the fast growth of TikTok in the world, we are aiming to build industry leading Ads Measurement, Signals and Identity products. The Ads Measurement, Signals and Identity team's goal is to help marketers to understand the activities of TikTok users, measure their true business value generated by TikTok across all of their paid channels and in turn use that data to improve their ads performance, while complying with privacy regulations and users choices. We are seeking an experienced data scientist to identify growth opportunities and enhance the product capabilities by applying experimental design, causal inference and funnel analysis approaches to help advertisers measure their true business value on the TikTok platform. Responsibilities: - Design and analyze internal or advertiser facing experiments or causal inference analyses to drive product improvements with cross-functional teams - Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions, and in-depth data understanding. - Identify opportunities to improve signal volume, diversity, quality and utilization efficiency. - Build cross-functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product roadmaps

Qualifications

Minimum Qualifications - 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, BioStatistics, Political Science, Economics, Quantitative Social Sciences, Computer Science, Mathematics, Physics) or equivalent practical experience - Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference - Proven experience in querying and analyzing large datasets using SQL/Hive, and proficient in scripting languages like Python/R - Strong analytical and strategic thinking with demonstrated product sense and leadership in working environment Preferred Qualifications: - Able to work independently in an innovative and fast-paced environment - Knowledge or experience in digital advertising, or search/recommendation systems - Knowledge or experience in dealing with missing data and real-world data with measurement errors

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $179200 - $353600 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.