Responsibilities:

• Build, improve, and maintain machine learning models
• Apply statistical models and quantitative analysis on large datasets to measure and identify areas for improvement/optimization in the product
• Lead the effort for collection of new data and refinement of existing data sources
• Identify and help implement tools to analyze this data effectively
• Educate and steer the organization towards adopting a more data-driven approach

Qualifications:

• Bachelor’s degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
• 3+ years experience in data science, machine learning, and data analysis
• Expertise in applied probability and statistics
• Deep understanding of machine learning techniques and algorithms
• Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus