Requirements
- Probability + Statistics: solid fundamentals in the areas of mathematics that allow us to interpret the world empirically. An empirical approach should inform everything you do.
- ML: experience (>3 years) in developing machine learning applications
- Fluency: In modern data languages: Python, Matlab, Scala or a few others (we like R and Julia).
- Data wrangler: Passionate about data and the ability to use data to understand systems
- Algorithms / Data Structures: Design patterns, efficiency, using the right abstraction for the task
- Functional Programming: filters and maps, currying and partial evaluation, group-by and reduce-by
Preferable Skills
- Data visualization: matplotlib / seaborn, D3js, ggplot, plotly
- Google Cloud Platform: use of GCP to support ML systems
