Machine Learning Data Scientist

New York, NY



  • Manage a small team of analytical specialists to recognize and retool appropriate machine learning formulas that can improve the fraud risk ranking of certain transactions and/or applications for new products. This consists of a balance of feature engineering, feature selection, and formulating and training machine learning algorithms using advanced technology to extract prognostic models/patterns from data collected for billions of transactions.
  • Work with technology partners to formulate and enhance cutting-edge real-time and batch model execution environments that process hundreds of millions of transactions every day.
  • Organize the design, development, deployment and monitoring of production real-time machine learning systems that perform on many millions of transactions every day and effect up to half the households in the USA.




  • Master’s degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantifiable fields
  • 5+ years’ experience with design and distribution of live production models executed in Python with techniques, for instance, neural networks or gradient-boosted trees
  • A professional who knows how models work, the reasoning behind why some models work or not work on some problems, and the applied aspects of how new models are formulated
  • Evident capability to direct the work of a data science team with their technology, business and risk management partners
  • Preference of a PhD in a quantifiable field with publications in top journals, preferably in machine learning
  • Real world experience working with bare-metal hardware in a Linux shell preferred
  • Knowledge of model design in a big data environment via Hadoop, Spark and Hive preferred
  • Experience designing models with Keras/TensorFlow, PyTorch, or other frameworks on GPU hardware preferred




Note: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, we will keep your resume on file for future opportunities and may contact you for further discussion.

Date Posted 10/15/2019
Salary $150,000 - $200,000 + bonus

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