Data Scientist, Ads

Responsibilities

About the team and overview of the TikTok Monetization Product Data Science Team, who enables and champions data‑driven decision making.

We're the TikTok Monetization Products data science team. Our vision is to become the world‑class data science team, rigorously using data to drive all decision making. Our mission is to drive monetization and sustainable revenue growth for TikTok through data science.

• Work with large, complex data sets; solve difficult, non‑routine analysis problems, applying advanced analytical methods as needed; conduct analysis that includes data gathering, requirements specification, processing, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Develop comprehensive knowledge of TikTok data structures and metrics, advocating for changes where needed for product development.
• Interact cross‑functionally, making business recommendations (e.g., cost‑benefit, forecasting, experiment analysis) with effective presentations to stakeholders at multiple levels through visual displays of quantitative information.
• Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Qualifications

Minimum Qualifications:

• BA, Master’s degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.
• 2+ years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
• Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g., SQL).

Preferred Qualifications:

• Experience with Ads, Recommendation, E‑Comm, Search, etc. is a plus.
• Demonstrated leadership and self‑direction; willingness to teach others and learn new techniques.
• Demonstrated skills in selecting the right statistical tools for a given analysis problem; effective written and verbal communication skills.

USDS Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA

Job Information

For Pay Transparency: Compensation Description (Annually): The base salary range for this position in the selected city is $144,000 - $329,334 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, 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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
• Exercising sound judgment.