Enhance a production experimentation platform that runs large-scale tests, helping marketers design, launch, and evaluate experiments efficiently and reliably
Job Summary
Enhance a production experimentation platform that runs large-scale tests, helping marketers design, launch, and evaluate experiments efficiently and reliably.
Build new flexible measurement tools by creating open-source style add-ons and turning research prototypes into production-ready solutions.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources.
Matching Summary
Enhance a production experimentation platform that runs large-scale tests, helping marketers design, launch, and evaluate experiments efficiently and reliably.
Skills & Requirements
Must-have
Python, SQL, PySpark for data processing
Scalable systems with ML/AI components
Automated testing and deployment practices
System internals understanding
Transforming prototypes into production code
Machine learning principles and statistical methods
Nice-to-have
Cloud platforms (AWS, GCP) familiarity
Open-source development practices
Modular, adaptable tool creation
A/B testing methodologies knowledge
Key Requirements
Bachelor's or Master's degree or equivalent experience
Proficient in Python, SQL, and PySpark
Experience building scalable systems
Experience with automated testing and deployment
Understanding of system internals
Experience turning prototypes into production code