AT1211: Data Scientist (Python, Ruby, C++)

The Data Scientist will be tasked with delivering solutions that leverage the capabilities of big data, machine learning, text analytics, statistics, and related data mining techniques across a variety of portfolio projects. S/he will work alongside the R&D team in a development environment to automate processes and prove analytical concepts that will solve critical business problems.

Core Responsibilities:
o    Query data and create datasets to merge information from diverse data sources in different formats (includes data testing, data dictionary creation, cleanup, validation, and formatting across sources)
o    Interpret data to develop analysis that lead to actionable business insights
o    Summarize and synthesize data and present recommendations to the businesses in a clear and logical manner
o    Develop algorithms and benchmark models to test hypotheses
o    Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
o    Coordinate data resource requirements between R&D team and engineering team
o    Help create a long-term data and infrastructure strategy to bring in industry best practices

Desired Skills & Experience:

  • Degree in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research)
  • Experience with applied statistics and data mining models, structures and theories (e.g. natural language processing, entity resolution, machine learning, etc)
  • Strong familiarity with analytical project life cycles (i.e. understanding, data preparation, modeling, evaluation & visualization)
  • Proficient use of analytical software and programming across project lifecycle
  • Data extraction techniques (e.g. SQL)
  • Visualization tools (e.g. Spotfire, Tableau)
  • Statistics software (e.g. R, SPlus, MatLab)
  • Computer languages (e.g. Python, Ruby, C++)
  • Experience processing large amounts of data, either using a framework (e.g. Hadoop) or custom solutions
  • Business knowledge of Treasury Services and/or Investment Banking a plus

Other skills:

  • Ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
  • Self-starter who can provide thought leadership and drive results in a dynamic and evolving environment
  • Ability to work effectively in cross-functional teams and influence business partners
  • Ability to work on multiple projects simultaneously

 

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