Data Scientist- TikTok Ads, Targeting

DescriptionTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.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.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. You will work with the product team to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.Responsibilities- Inform, influence, support, and execute our product decisions through data- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our ads products- Help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: guide teams using data and insights- Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities- Collaborate with data engineering to build/maintain reports, dashboards, and metrics to monitor the performance of our products and identify insights- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businessesQualificationsMinimum Qualifications:- experience doing quantitative analysis.- BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields. Advanced degrees are preferred but not required.Preferred Qualifications:- Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains.- Fluency in SQL or other programming languages (Python, R etc) for data manipulation- The ability to initiate and drive projects to completion with minimal guidance- The ability to communicate the results of analyses in a clear and effective manner- Experience building up a team or mentoring other DS is a plus.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok 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://shorturl.at/cdpT2RegularExperienced