Data Scientist- TikTok Ads Privacy Specialist
3 weeks ago
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have global offices, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Our platform helps imaginations thrive, making creation a core part of our purpose. This applies doubly to the teams that make TikTok possible.
We believe in inspiring creativity and bringing joy through our work. Every challenge, no matter how difficult, is an opportunity for us to learn, innovate, and grow as one team.
Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. This is how we drive impact – for ourselves, our company, and the communities we serve.
The data science team for TikTok's monetization products enables and champions data-driven decision-making. Our vision is to become a world-class data science team where data drives all decision-making.
Our mission is to drive monetization and sustainable revenue growth for TikTok through data science.
About the Role
This role is within the TikTok Monetization Products data science team. The ideal candidate will be passionate about privacy and well-versed in digital ads products. They will help our business revolutionize digital ad products in a more privacy-centric ecosystem.
Responsibilities
- Inform, influence, support, and execute product decisions through data.
- Apply quantitative analysis, data mining, and data presentation skills to understand customer interactions with our ads products.
- Help partner teams prioritize what to build, set goals, and understand their product's ecosystem.
- 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.
- Develop strategies for our products that serve billions of people and millions of businesses.
Qualifications
Minimum 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.
- Ability to initiate and drive projects to completion with minimal guidance.
- Ability to communicate results of analyses in a clear and effective manner.
- Experience building up a team or mentoring other DS is a plus.
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