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Data Scientist, Risk 416 views

They believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. They started with a little white credit card reader but haven’t stopped there. They’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. They’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

Job Description

As a Senior Data Scientist at Square working on Risk, you will lead projects that derive value from their unique, rich and rapidly growing data. Specifically, you will lead the development of fraud detection algorithms and systems that protect Square and its customers from fraud and financial loss.

You Will

  • Creatively leverage both new and existing data to increase the effectiveness and efficiency of their risk infrastructure
  • Work with engineers to design machine learning solutions that operate effectively at scale
  • Partner with operatives to quickly respond to rapidly evolving threats
  • Apply good software development practices and actively contribute to production code
  • Help build the next generation of data products at Square

You Have

Qualifications

  • 2-4 years of relevant industry experience
  • A graduate degree in statistics, applied mathematics, computer science, physical sciences, or a similar technical field
  • Experience developing and deploying machine learning / deep learning solutions
  • The versatility to communicate clearly with both technical and non-technical audiences
  • A willingness to solve problems using whichever tool is most appropriate for the situation

Technologies We Use And Teach

  • Python (numpy, pandas, sklearn, xgboost, TensorFlow)
  • MySQL, Hive
  • Java
  • Google Cloud Platform
  • Tableau, Looker

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