As a Data Scientist on our Risk team, you will use machine learning and data mining techniques to assess and mitigate the risk of every entity and event in our network. You will sift through a growing stream of payments, settlements, and customer activities to identify suspicious behavior with high precision and recall. You will explore and understand our customer base deeply, become an expert in Risk, and contribute to a world-class underwriting system that helps Square provide delightful service to both buyers and sellers.
To accomplish this, you are comfortable writing production code in Java and conducting exploratory data analysis in R and Python. You can take statistical and engineering ideas from prototype to production. You excel in a small team setting and you apply expert knowledge in engineering and statistics.
Investigate, prototype and productionize features and machine learning models to identify good and bad behavior.
Design, build, and maintain robust production machine learning systems.
Create visualizations that enable rapid detection of suspicious activity in our user base.
Become a domain expert in Risk.
Participate in the engineering life-cycle.
Work closely with analysts and engineers.
Ability to find a needle in the haystack. With data.
Extensive programming experience in Java and Python or R.
Knowledge of one or more of the following: classification techniques in machine learning, data mining, applied statistics, data visualization.
Concise verbal and written articulation of complex ideas.
Contagious passion for Square’s mission.
Data mining or machine learning competition experience.
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