Senior Data Scientist, Ads

Join the TikTok Monetization Products data science team to help drive data-driven decision making for TikTok ads. This role focuses on advanced analysis, scalable pipeline development, and research into forecasting and optimization methods that can improve the quality of TikTok ads products. You’ll collaborate across functions to translate quantitative findings into clear business recommendations. What you’ll build toward : rigorous, high-quality analysis that supports monetization and sustainable revenue growth, with an emphasis on practical impact and continuous learning within a team designed to champion data-led decisions. Responsibilities Work with large, complex data sets to solve difficult, non-routine analysis problems using advanced analytical methods. Deliver end-to-end work that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to generate insights at scale. Develop comprehensive knowledge of TikTok data structures and metrics, including advocating for changes that support product development. Partner cross-functionally to produce business recommendations such as cost-benefit analysis, forecasting, and experiment analysis. Present findings with visual displays of quantitative information to stakeholders at multiple levels. Research and develop analysis, forecasting, and optimization methods aimed at improving the quality of TikTok ads products. Requirements 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 in statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Experience with statistical software including R , Python , and/or MATLAB , plus database languages such as SQL . Ads, Recommendation, E-Comm, or Search experience is a plus. Demonstrated leadership and self-direction, with willingness to both teach others and learn new techniques. Ability to select appropriate statistical tools based on the specific analysis problem. Strong written and verbal communication skills. Benefits Day one access to medical, dental, and vision insurance 401(k) savings plan with company match Paid parental leave Short-term and long-term disability coverage Life insurance Wellbeing benefits 10 paid holidays per year 10 paid sick days per year 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure) Team and company The TikTok Monetization Products data science team enables and champions data-driven decision making. The team’s vision is to become a world-class data science organization where data is used rigorously to drive decisions, and its mission is to drive monetization and sustainable revenue growth for TikTok through data science. About USDS : TikTok USDS Joint Venture LLC is focused on the safety and security of millions of Americans who create, discover, and connect on the apps we operate. On-site presence supports speed, alignment, and agility, including real-time decision-making, team development, and integrated execution, with a shift from hybrid work to a fully in-person schedule up to 5 days a week. Location and pay transparency Location : Seattle, WA (onsite) Base salary range : USD 167,538 - 312,867 per year. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location. Base pay is only part of the total package, and the 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. Reasonable accommodation USDS is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. #J-18808-Ljbffr