- An Advanced Degree (MSc or PhD) in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields or have equivalent practical experience.
- 4+ years in developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning.
- 4+ years of experience building scalable ETL data pipelines and dashboards.
- 4+ years of experience in data science, machine learning, data engineering, analytics engineering or related fields.
- 4+ years of experience in one or more scripting languages, such as Python.
- Demonstrated ability to lead or build project areas from scratch.