Overview

This role is open to select, very strong recent 2018 PhD grads and candidates with less than 1 year of experience

Our client is a financial services, data and multiformat media company, highly respected in the market for its leading data, managed services, analytics and equity trading platforms.

They are looking to add a skilled research scientist and data science engineer to their machine learning efforts.

The company is developing a host of new applications, including market impact indicators, streaming social media analysis, topic clustering, risk analysis and market predictive analyses – the research engineer would provide a central contribution to the development of these new initiatives.

Role:

Design and build systems that solve difficult problems involving text, time series and complex data
Build entirely new prediction models
Write and maintain production level Python and C++
Publish research findings

Company:

Open Systems Technologies

Qualifications:

Profile:

Industry experience working with C++ and Python, including knowledge of STL and Boost
A bachelor’s or Masters in CS, MIS or Data Science program – a PhD in Machine Learning or Natural Language processing is an advantage
Strong background in NLP and Machine Learning
Strong mathematics background in probability and statistics
Top-tier publication history
Experience developing machine learning using time-series data
Good knowledge of Spark

Educational level:

Bachelor’s Degree

How to apply:

Please mention NLP People as a source when applying

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About Open Systems Technologies

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