Netflix is seeking a Data Scientist to address foundational measurement problems within the Open Connect space, where traditional experimentation methods are not always feasible due to the complexity and scale of the infrastructure. The goal is to improve the performance, efficiency, and reliability of Netflix's technical infrastructure.
Requirements
- A good coder and builder who likes to work with Python and SQL (Trino, Spark), and/or PySpark
- Solid understanding of statistics.
Responsibilities
- Understanding the science needs of Open Connect, and support them in designing, executing and analyzing experiments.
- Partner with other Data Scientists and the Experimentation Platform team to design and build scalable, self-serve experimentation tooling to meet unique Open Connect needs (e.g. high-scale data, noisy metrics, quasi-experimentation).
- Design and rigorously validate new testing methods.
- Be an advocate for the infrastructure experimentation space by thoroughly documenting your work, educating partners and finding new opportunities to contribute to our data-driven culture.
- Deliver strong insights and data science products, sharing your work proactively and consistently seek feedback to refine your approach.
Other
- Fascinated by understanding how complex systems work, but pragmatic in your solutions to experimentation problems on those systems.
- An impact-oriented, applied scientist. You know the theory behind experimentation but are motivated most by how the theory is used in practice.
- Comfortable with ambiguity and capable of navigating complex stakeholder relationships.
- Able to communicate your ideas clearly and succinctly with the right amount of detail to audiences with varying technical backgrounds.
- The range for this role is $170K - $720K.
