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.

About the Team
The E-Commerce Business Growth- Data Compass team aims to cater to merchants and creators on the e-commerce platform and improve their operational efficiency. Our focus is to optimize various aspects such as merchandise strategy, user operation, and marketing, leveraging algorithm-driven solutions.

We are looking for talented individuals to join us for an internship in from August 2024 onwards. 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.

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.

Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities
- Improve the working efficiency of e-commerce merchants, influencers, and account managers to boost the growth of sellers' products, customers, and revenue.
- Participate in the optimization of sellers' operations, such as marketing insights, assortment planning, customer relationship management (CRM), anomaly detection, and diagnostic attribution.
- Participate in the optimization of merchandise operations, such as seasonal and trend analysis, supply and demand analysis, new product and product growth analysis, and improving the alignment of products and associated traffic.
- Participate in the optimization of the marketing strategies and Return on Investment (ROI) of sellers and influencers in TikTok e-commerce live streaming, short video, and ShopTab.
- Analyze and conduct feature engineering for massive data such as customer profiling, e-commerce transactions, relationships between products, business opportunities, and deploy the model pipeline.
- Use techniques such as representation learning, graph modelling, causal inference, and time series forecasting to assist merchants and influencers in problem-solving and discovering growth opportunities.
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

Qualifications

Minimum Qualifications
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Experienced with feature engineering from massive raw data, such as customer/seller/influencer profiling and e-commerce transactions.
- Proficiency in coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools.
Hands-on experience with data structure algorithms, machine learning models such as sales forecasting, classification task, deep learning etc.
- Proven experience of implementing business projects and launching product features.

Preferred Qualifications
- Experienced in deep learning, time series forecasting, causal inference or relevant fields.
- Solid understanding of search and recommendation systems, with an emphasis on AIGC field, is a plus.
- A strong desire to learn and discover new things, result-oriented, customer-oriented, team player, and self-driven.

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.