Minimum of 2+ years of experience working in data science for a mid-level role. Good knowledge in a quantitative field and experience in (DNN, NLP, time series, reinforcement learning, network analysis, or causal inference).
- Previous experience in DNN, NLP, time series, reinforcement learning, network analysis, or causal inference or any related areas
- Proficiency in any of the following numerical programming languages (Python/PySpark/ R, SQL, C#, or Spark)
- Experience with cloud-based architectures such as Azure