Vesta Corporation
  • Payments and Risk
  • Portland, OR, USA
  • Salary
  • Full Time

The role of the Data Scientist is to discern legitimate eCommerce transactions from fraudulent ones.  You will achieve this by leveraging all the data elements available to build complex models and decision rules for real-time decisions.  To succeed in this role, you must demonstrate the ability to leverage new technology and advanced machine learning technologies to discover and analyze new insights to achieve the company's operational and strategic goals.  The ideal candidate for this position has strong analytical skills, enjoys problem solving, and is passionate about fighting fraud.

Duties:

  • Manage several eCommerce merchants by effectively balancing transaction approval rates and loss rates
  • Analyze large volumes of data to understand consumer behavior and identify patterns of good and fraudulent activities
  • Monitor for newly developing fraud patterns and determine when to take further actions
  • Develop predictive models for fraud detection
  • Perform large-scale data analysis, explore and extract patterns, identify and investigate anomalies
  • Analyze and implement decision rules to combat developing fraud attacks; turn analysis into simple and clear stories that lead to actions taken

Qualifications:

  • M.S. or PhD in Computer Science, Statistics, Applied Math, or a quantitative field with a strong background in machine learning or data mining
  • 5+ years of experience in e-commerce fraud or related area preferred
  • Experience in machine learning algorithms and data mining technologies a plus
  • Strong analytic skills and experienced in problem solving
  • Ability to make decisions with limited information and ambiguous situations
  • Expertise in data warehouse and SQL programming is strongly required
  • Experience with at least one programming language, e.g. Python, Java, or C++
  • Excellent verbal and written communication skills
Vesta Corporation
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