Responsibilities
- Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.
- Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.
- Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
Qualifications
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.
- Familiarity with common statistical machine learning model algorithms, understands deep learning principles and frameworks.
- Familiar with one of the Python/Java/Go/C++ programming languages and common data structures and algorithms; demonstrable coding ability.
- Good problem analysis and solving ability, quick learner with independent research ability, strong collaboration and teamwork mindset.
Preferred Qualifications
- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.
- Deeply passionate about software coding/development and building great mobile/web applications.
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.
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