Data Scientist - Emory, United States - Tik Tok
Description
About TikTokTikTok 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.
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.Trust and Safety R&D Team Opportunity
Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform.
Our mission is to protect billions of users and publishers across the globe every day.We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform.
With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.
Responsibilities - What You'll DoImprove the trust and safety strategy of live/video service by various strategies
Perform deep dive analysis into specific problem spaces by attribution analysis, provide knowledge that will guide strategy in algo model improvement
Work with vast amounts of data and convert insights into intuitive, actionable results that will drive strategy and decision-making
Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem
Collaborate with cross-functional teams including Algo, Engineering, Product, and Operations, QA to deploy and improve solutions
Design experiments, implement them, and follow-up on results
Identify new sources of data and methods to improve data collection, analysis, and reporting
Qualifications
Bachelor's degree in Computer Science, Statistics, Data Science, Operations Research or a related field. An advanced degree(Master's, PhD) is preferred
Excellent ability to analyze and solve problems, full of passion for solving challenging problems
Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc.
Experience as data scientist/algo engineer in large Internet companies is preferred
Good communication skills and enjoy working with diverse teams globally
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