Responsibilities

Given the fast growth of Tik Tok in the world, we are aiming to build an industry leading ads measurement product. The Lift Measurement team's goal is to help marketers realize their true business value generated by Tik Tok across all of their paid channels. In order to achieve this goal, the Lift Measurement team is building a suite of incrementally measurement products. We are seeking an experienced data scientist to focus on building digital ad measurement products by applying experimental design and causal inference approaches to help advertisers measure their true business value on the Tik Tok platform.

• Design and analyze lift experiments to drive product improvements with cross-functional teams
• Conduct research and analysis to improve the lift experimentation platform using experimental design and causal inference methods
• Identify opportunities to build new or enhance ad measurement products
• Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions
• 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, Bio Statistics, 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
• Able to work independently in an innovative and fast-paced environment
• Knowledge or experience in digital advertising measurement (Brand or DR) is a plus
• Knowledge or experience with privacy technologies is a plus (e.g., secure multi-party computation techniques, differential privacy, federated learning)

Compensation

The base salary range for this position in the selected city is $176,356 - $395,280 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

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.

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
3. Exercising sound judgment