Data Scientist

4 months ago

San Jose, United States Tik Tok Full time
Responsibilities

TikTok 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, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
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.

About The Tiktok Monetization Product Data Science Team
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 an industry leading ads measurement product. The Lift Measurement team's goal is to help marketers realize their true business value generated by TikTok 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 TikTok platform.

Responsibilities
- 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

- 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
- 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)

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 tt.accommodations@tiktok.com

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