Data Scientist

| Greater NYC Area
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We are looking for a talented Data Scientist for an exciting opportunity on the investment team within PMX. You would be involved with designing a new workflow for data science and analytics that are a big part of the roadmap for 2018 and implementing data science algorithms and modeling that scale for data in the billions. Candidates considered based on their ability to design modeling solutions anticipating behavior and deriving insights from big data. As well as their ability to manage research projects resulting in real world project and data pipelines that support data products.

Your day to day will include:

  • Data modeling to identify patterns, predict outcomes and provide risk analysis

  • Implement standard and custom machine learning techniques across a big data

  • Integrate products from data projects into portal built in Ruby/Rails

  • To enjoy being challenged and solve complex problems on a daily basis

  • Excellent oral and written communication skills

  • Proficient in designing efficient and robust ETL workflows

  • Investigate, procure and ramp up to new technologies

  • Ability to work in teams and collaborate with others to clarify requirements

You have: 

  • Bachelor's Degree in Mathematics, Computer Science/Engineering, Statistics

  • 1-3 years data engineering or data science experience (preferably in Java, Python and/or Scala)

  • Must have a strong mathematics and statistics background

  • Knowledge of Big Data Architectures (Hive/Hadoop, Redis and/or Dynamo DB)

  • Implemented Machine Learning on parallelize infrastructure (extra credit)

  • Experience in Spark (extra credit)

Bonus if you have:

  • Design and manage data pipe-line using luigi or like ETL system

  • Write Java/Scala applications for data processing and engineering

  • Can demonstrate understanding of Web Services

  • Strong experience with SQL and/or NoSQL

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Location

We are in Soho at Hudson and Houston streets, our offices are modern, the perimeter windows overlook the Hudson River.

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