Data Scientist [PySpark & Machine Learning]

Confidential Company  •  Newark, DE

5 - 7 years experience  •  Financial Services

Salary depends on experience
Posted on 08/04/17
Newark, DE
5 - 7 years experience
Financial Services
Salary depends on experience
Posted on 08/04/17

Responsibilities:

The Python/Spark Developer will be a member of the teams that designs and develops robust automated solutions in partnership with Model Design teams and other stake-holder groups in Risk and Finance.  The ideal candidate will possess strong technical skills and an understanding of data systems, and will execute the end-to-end implementation effort.

  • Develop, test, and maintain data and analytics needed for risk and finance models
  • Process analysis and process improvement,
  • Create and maintain technical documentation,
  • Contribute to the group’s knowledge base by finding new and valuable ways to approach problems and projects.
  • Deliver high-quality results under tight deadlines
  • Experience manipulating and summarizing large quantities of data.
  • Knowledge of the consumerlending lifecycle, including loan origination, sale/servicing, default management/loss mitigation

  • Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's degree with 6 years of experience, or Master’s degree with 4 years of experience, or a Ph.D. and two years of experience.
  • 2 to 4 yearsexperience designing and developing in Python or Scala. 
  • 2 to 4 yearsexperience in Hadoop Platform (Hive, HDFS and Spark)
  • 3 to 5 yearsexperience with Unix shell scripting
  • 3 to 5 yearsexperience with SQL
  • 1 to 2 yearsexperience with Machine Learning (preferably Spark-ML)
  • Knowledge of Java and Scala

     

Preferred Qualifications:

  • 5 years' experience with version control tools and processes (Subversion, CVS, Clear Case etc.
  • 3 years' experience in programming additional languages, especially C++, R, SAS
  • Knowledge of Neural Networks and/or Tensorflow
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