Senior Data Scientist Netbrain Technologies Inc.
Burlington, MA

Job Description

Company Summary

NetBrain is the market leader disrupting the network automation space. Our ground-breaking automation platform leverages the power of dynamic maps to provide CIOs and network teams with end-to-end network visibility while enabling adaptive automation across the organization's physical, virtual and software-defined networks. Today, over 1,800 of the world's largest enterprises and managed services providers leverage NetBrain's platform to automate network documentation, troubleshooting, and change management.

"NetBrain's success is due to our people, and over the years, we have been fortunate to attract top talent because of our unique culture and exciting mission to transform the network management industry." - Lingping Gao, Chairman and Chief Executive Officer of NetBrain

GROW WITH US!

Overview

Analyze network data and solve complicated network problems with Machine Learning, Data Mining or Statistical Inference techniques.Design, document and lead the implementation of software and systems to help ensure optimal implementation of the neural network models, real-time analytics with enterprise data.Research and build mathematical model for real network problems.

Responsibilities

Use supervised learning, unsupervised learning and active and deep learning techniques.Optimize algorithms and improve scalability and performance of products.Mentor other data scientists in algorithms, models, tools, and products that make the team more efficient.

Qualifications

Master or PhD Degree in Machine Learning, Data Mining, Statistical Inference, Mathematical modeling or similar fields.Experience with creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Strong familiarity and hands-on experience with one or more programming languages (Python, R, C/C++, Perl, Java)Experience with deep learning theory and frameworks such as TensorFlow, Keras, Caffee, etc.Experience with distributed systems and NoSQL databases (e.g. Redis, MongoDB, ElasticSearch, Hadoop or Cassandra)Experience resolve any domain problem use Machine learning technology.Excellent understanding of algorithms and data structures for optimization.Have 3 years of experience in Machine Learning field.Fluent in Mandarin.

Plus: Experience with Large-scale computing frameworks such as Spark, Hadoop, etc.