Summary
Join Constructor's Experiments team and build a platform for A/B testing and data-driven decision-making. You will own the entire experimentation process, develop the internal experiments platform for ML/DS teams, and improve the performance and scalability of our services. This role requires hands-on experience building production services with Python and experience with monitoring and quality assurance. You should be ready to dive into the experimental/data analytics domain and be curious about how people use the product. Constructor offers a fully remote work environment, unlimited vacation time, an Apple laptop, a training and development budget, parental leave, and a competitive compensation package.
Requirements
- Have hands-on experience building and owning services for production with Python
- Have experience with monitoring and quality assurance for services that directly affect the customer experience
- Be ready to dive into the experimental/data analytics domain
- Be curious about how people use the product you build, not just how it looks from the technical perspective
Responsibilities
- Own the whole experimentation process from traffic splitting to revealing experiment results
- Develop the internal experiments platform for ML/DS teams, implementing user-facing features for running and analyzing the results of experiments
- Improve the performance and scalability of our services
- Improve the trustworthiness, necessary time, and number of experiments by integrating state-of-the-art approaches for AB tests
Preferred Qualifications
- Have experience with PySpark or ETL pipelines
- Have experience building analytical services or experiment platforms
Benefits
- Unlimited vacation time β we strongly encourage all of our employees take at least 3 weeks per year
- Fully remote team β choose where you live
- Apple laptop provided for new employees
- Training and development budget for every employee, refreshed each year
- Parental leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Compensation: base range of 90-110K USD + stock options
- Work from home stipend! We want you to have the resources you need to set up your home office