Data Science Intern

3 weeks ago

Singapur, Singapore TikTok Full time

About the team

TnS-Product-Data Science-SingaporeThe goal of the data science team is to help business make many good decisions using data. As a Data Scientist Intern in our Trust & Safety team, you will work closely with cross functional partners such as product managers and program managers to identify root causes of content risk on our platforms and help formulate strategies to minimise user impact. You will be proactively analysing performance metrics, trends and delivering insights that will influence trust and safety decisions. You will also be building data science toolings that strengthen our detection and protection capability in trust and safety. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Responsibilities- Support strategic planning and execution for long term business plans through in-depths research, industry studies and the study of market trends- Design and establish indicator systems for safety and risks of the platform, monitor and optimize risk coverage in each link, measure the performance of content safety strategies and facilitate decision-making.- Build and enhance risk detection models or toolings to strengthen enforcement and automation of trust and safety policies- Derive and drive quantitative projects from start to finish, including developing analytical frameworks, distilling actionable insights and working with XFN partners to drive business impact.- Assist with data migration compliance procedures, which involve comprehending the business logic, verifying the accuracy and reliability of the code and ensuring data security to comply with regulatory standards.

Minimum Qualifications- Postgraduate who is currently pursuing a Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related technical discipline.- Working level competency in one or more programming languages including SQL and Python are required. Understanding of ML models and how they can be leveraged to act upon a range of content and safety risks.- Collaborative, data-driven, ownership, communication, analytical mindset Preferred Qualification- Previous work experience in quantitative analysis with relevant degree / experience is a plus- Ability to understand Trust and Safety issues, solve problems using quantitative approaches and communicate complex concepts and analytical results to drive business impact.- XFN stakeholder management skill- Relevant working experience (FT/Internship)

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