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Data Scientist-NLP

  • Job type: Permanent
  • Location: New York
  • Salary: US$250000 - US$400000 per year + Generous Benefits
  • Job reference: 206481/003_1551139437
  • Sector: Selby Jennings, Data Science
  • Date posted: 26/02/2019

Data Scientist-Natural Language Processing

Hedge Fund

New York City

Total Compensation: $250,000-$400,000

An industry leading Hedge Fund based in New York City is looking for Data Scientists with Natural Language Processing (NLP) experience. Founded over 20 years ago, the team is on a mission to transform their investment strategy into a truly systematic model by utilizing alternative data and Natural Language Processing (NLP). This Hedge Fund has less than 1000 employees globally & their highly effective workforce is home to some of leading minds in finance from around the world.

These Data Scientists will be utilizing NLP techniques to support revenue generation and improve business efficiencies across the front office and will be part of a wider well-established Data Science/Machine Learning team and will take ownership of all Natural Language Processing (NLP) initiatives.

What will these Data Scientists-Natural Language Processing (NLP) be responsible for?

  • Develop, deploy and apply sophisticated deep learning techniques including speech recognition, Natural Language Processing & Time Series predictions

  • Develop models and data-driven solutions to contribute towards revenue generation & operational efficiency

  • Lead your own projects. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning applications.

  • Conduct objective research on project situational demands, and other related topics to support critical analysis.

Some qualifications:

  • 2+ years' experience utilizing Natural Language Processing within industry, ideally within large-scale tech or finance

  • Ph.D. in Computational Linguistics, Linguistics, Language Technologies, Computer Science or Electrical & Computer Engineering from a top institution

  • Excellent knowledge and project examples of machine learning algorithms (regression, classification, clustering)

  • Expertise in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE)

The Hedge Fund has already gone through approvals for this position and is currently arranging initial high-level conversations so please apply with an up to date resume as soon as possible.

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