What you'll do -

• Define quantitative measurement for qualitative goals
• Drive complex analytics projects from loosely defined questions to actionable insight.
• Utilizing statistical or machine learning methods to perform predictive analytics.
• Utilizing existing technologies to explain predictive analytics results in the production environment.

Requirement

• Strong problem solving skills
• Deep understanding of numbers, as well as a strong business sense.
• Expertise in computer vision sub-disciplines such as: image analysis (object recognition and feature detection)
• Familiar with various 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.
• Experience using statistical computer languages and tools such as Scala, R, Python, SQL, Spark, etc