Full-stack Engineer, Data Platform - Experimentation & Evaluation

Team Introduction Our mission in experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decision for the products. The supported scenarios include recommendation, push, ads, search, mobile app, UI interaction and service upgrades etc. Our platform s capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.

As a full stack software engineer in experimentation and evaluation team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Your work will have a direct and huge impact on the company s core products as well as hundreds of millions of users.

• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
• Establish solid design and best engineering practice for engineers as well as non-technical people
• Build world-class frontends, which combine usability, accessibility, elegance, performance, and maintainability Minimum qualification

Metrics, Statistics, Mobile Applications, Experiment Design, User Interface/Experience (UI/UX), A/B Testing, Product Support, Software Engineering, Big Data, Best Practices, * Bachelor s or Master s degree in Computer Science or related fields.

• Development experience in JavaScript/TypeScript, Python, Go, C++, or related languages.
• Strong experience in architecting and implementing modern consumer-facing web applications.
• Experience of driving collaboration across cross-functional teams on delivering shared goals.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Strong product sense, with experience driving user-facing products/features from 0 to 1.
• Experience with large-scale data applications is a plus.
• Curiosity towards new technologies and entrepreneurship.