Data Scientist

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

Creating custom ML models for analyzing legal contract

Coordinate with different functional teams to implement models and monitor outcomes

Develop processes and tools to monitor and analyze model performance and accuracy

Good understanding of Python with basic libraries like numpy, pandas, matplotlib or any visualisation library

Good understanding of at least one Deep learning or Machine Learning framework, like sklearn, tensorflow, keras or Pytorch

Familiarity with Linux

Strong problem-solving skills with an emphasis on product development

Experience using statistical computer languages (Python, R, SQL, etc.) to manipulate/analyze large data sets

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks

Knowledge of advanced statistical techniques and concepts

Experience querying databases and using statistical computer languages