Advanced degree in Statistics, Mathematics, Engineering or related quantitative field
5+ years relevant experience with large scale data engineering
Prior experience focused on experiment design and/or A/B testing at scale Able to demonstrate application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc
Familiar with statistical analysis and programming languages (e.g. R / Python)
Proven experience as a Data Engineer, with a strong background in data warehouse design and data modeling.
Expertise in SQL and experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
Experience with data visualization tools and platforms such as Tableau, Power BI, or similar.
Strong programming skills in Python, Java, SQL and Scala.
Experience in cloud platforms like AWS, Azure, or Google Cloud
Familiarity with machine learning algorithms and their application in data analysis.
Ability to work independently and partner with cross functional teams to manage end to end product development
Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels