Data Science Intern, Trust & Safety - 2023 Start

Key Skills

Machine learning techniques, Python Programming, Quantitative models, R Programming, SQL

Job Description

Our Trust & Safety team's commitment is to keep our online community safe. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.

We are looking for talented individuals to join us for an internship in 2023. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

Successful candidates must be able to commit to the following internship cycle below: -

• Summer Internship - 02 May 2023 to 11 Aug 2023

We will prioritize candidates who are able to commit to the above internship period. Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

The goal of the data team is to help business make many good decisions using data. As a data scientist on 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.

What will I be doing?

• 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.

Qualifications

What should I bring with me?

• 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, Python and R is required. Understanding of ML models and how they can be leveraged to act upon a range of content and safety risks.
• Minimum 2+ years 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.

Trust & Safety is committed to the wellbeing of all our employees. Our promise is to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com