Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Data Science, Statistics or related field and 2 years of experience in the job offered or related occupation.
2 years of experience with each of the following skills is required:
Building and deploying Machine Learning models to production using data processing tools including Spark.
Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement.
Proficiency in computer languages, including Java, Scala, and Python, to support Machine Learning components.
Using database languages (SQL and NoSQL) to build applications.
Designing large-scale, distributed system components using various design methodologies (i.e., Serverless, Client-Server, DDD, etc.).
Using alerting and observability tools, including DataDog or Splunk, to monitor systems in production.
Optimizing system performance using data structures and algorithms.