TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. . Data Security ( USDS ) is a subsidiary of TikTok in the .
This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep .
users safe. Our focus is on providing oversight and protection of the TikTok platform and . user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Why Join UsCreation 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. About the TeamThe Governance and Experience Algorithm team was established to support the following businesses with the most advanced AI technology - Combat any kinds of risks / violations issues in E-commerce scenarios.
- Build a robust E-commerce ecosystem and improve platform service capabilities Responsibilities : - Utilize algorithms to expand the coverage of user rights in the after-sales process, ensuring a comprehensive and satisfactory experience for our customers.
- Develop and implement uplift models to optimize subsidy ranges in the after-sales domain, maximizing the return on investment (ROI) for subsidy projects.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to gather requirements, design solutions, and integrate algorithms into our e-commerce platform.
- Conduct data analysis and experimentation to identify patterns, trends, and opportunities for improving the after-sales experience and subsidy strategies.
- Continuously monitor and evaluate the performance of implemented algorithms, making necessary adjustments and improvements based on feedback and data insights.
- Stay updated with the latest industry trends, research advancements, and best practices in e-commerce algorithms and after-sales optimization techniques.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager / department.
We regularly review our hybrid work model, and the specific requirements may change at any time.
Minimum Qualifications- Bachelor's degree or above in computer science or related field- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++- Solid foundation in data structures / algorithms, proficient in machine learning / deep learning theory, and rich practical experience- Familiar with 1-2 areas in Uplift Model, Causal Inference model, Causal Forest, GBDT Preferred Qualifications- Excellent analytical and problem-solving skills, passionate about challenging problems- Good team spirit and strong communication skills
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