Data Scientist

Found in: Talent SG 2A C2 - 2 weeks ago


Singapore TIKTOK PTE. LTD. Full time
Roles & 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, 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.


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.

We are looking for talented data scientist who can take initiatives, design and develop advanced data-driven solutions. A successful candidate will have good quantitative analysis skills, data sense and hands-on capabilities. And you will take pride in working with engineers, product and business partners to identify and solve the most challenging safety and trust problems in Tiktok.


Responsibilities - What You'II Do

1. Improve the trust and safety strategy of live/video service by various strategies

2. Perform deep dive analysis into specific problem spaces by attribution analysis, provide knowledge that will guide strategy in algo model improvement

3. Work with vast amounts of data and convert insights into intuitive, actionable results that will drive strategy and decision-making.

4. Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem.

5. Collaborate with cross-functional teams including Algo, Engineering, Product, and Operations, QA to deploy and improve solutions.

6. Design experiments, implement them, and follow-up on results.

7. Identify new sources of data and methods to improve data collection, analysis, and reporting.


Qualifications

1. Bachelor's degree in Computer Science, Statistics, Data Science, Operations Research or a related field. An advanced degree(Master's, PhD) is preferred.

2. Excellent ability to analyze and solve problems, full of passion for solving challenging problems.

3. Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc.

4. Excellent understanding of the principle of machine learning/deep learning algorithms/LLM is preferred.

5. Experience as data scientist/algo engineer in large Internet companies is preferred.

6. Good communication skills and enjoy working with diverse teams globally.



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.


Tell employers what skills you have

Tableau
Machine Learning
Pandas
Big Data
Hadoop
Mathematics
Quantitative Analysis
User Experience
Operations Research
PowerBI
SQL
Good Communication Skills
Python
Fraud
Statistics
Data Science
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