Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (Python, SQL, hive, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
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.
Excellent written and verbal communication skills for coordinating across teams.
Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc.