Responsibilities

• Process massive amounts of structured and unstructured data.
• Build advanced supervised and unsupervised machine learning models for batch and real-time applications.
• Research new machine learning solutions to complex business problems.
• Develop and deploy models in production using Python.
• Run A/B test experiments and analyze results.
• Communicate findings to non-technical audience.
• Stay current with new tools and techniques in the literature.

Qualifications

• Masters in Computer Science, Engineering, Statistics, or related field (PhD preferred)
• Excellent communication skills.
• Strong background in machine learning and statistics.
• Solid foundation in data structures and algorithms.
• Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).
• Ability to write complex SQL queries.
• Experience training deep neural networks.
• Experience with natural language processing.
• 4 or more years of industry experience building ML and statistical models.