Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
A drive to learn and master new technologies and techniques.:
Feature engineering and selection
Selecting among various techniques and algorithms
Choosing hyperparameters and experimentation
Assessing model performance
Deploying model to production.
Excellent written and verbal communication skills for coordinating across teams.
Minimum 8 years of IT experience of working on software development projects in any capacity