Leverage advanced machine learning techniques to identify and engineer predictive signals for risk and usage models
Job Summary
Leverage advanced machine learning techniques to identify and engineer predictive signals for risk and usage models.
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver products.
Utilize a broad stack of technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of data.
Matching Summary
Leverage advanced machine learning techniques to identify and engineer predictive signals for risk and usage models.
Salary
Base: $123,300 - $168,900; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
advanced machine learning techniques
predictive signals
cash flow and transaction data
Python, Conda, AWS, H2O, Spark
machine learning models development
Nice-to-have
innovative and creative problem solver
statistically-minded
data guru
emerging technologies research
Key Requirements
Bachelor's Degree in quantitative field + 2 years data analytics