Applied Research Machine Learning Scientist

Company: BigR.io
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 27.MAY.2021
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Summary

Applied Research Machine Learning Scientist Remote- East Coast Hours W2- contract, 6-12+months BigR.io is a technology consulting firm e...

Description

Applied Research Machine Learning Scientist

Remote- East Coast Hours

W2- contract, 6-12+months


BigR.io is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation. We are an elite group with MIT roots, shining when tasked with complex missions. Whether it's assembling mounds of data from a variety of sources, surfacing intelligence with Deep Learning, or building high-volume, highly-available systems, we consistently deliver.


About you:

  • Do you view Machine Learning as a passion instead of just a job?
  • Do you want to research cutting edge new ML techniques and applying them to real-world challenges in the corporate environment?
  • Is it appealing to immerse yourself in Machine Learning conferences and research papers, and then back out those approaches and see how they can solve challenges in new and novel ways?
  • If so, this is the role for you!


You have:

  • An MS or PhD in Computer Science, Applied Mathematics, Physics, or any related Engineering field.
  • Excellent knowledge in the latest Machine Learning, Signal Processing, Statistical Modeling, Time-Series Analysis, non-linear time series analysis, and Optimization approaches.
  • Hands-on skills with the ML Python environment (PyTorch, NumPy, SciPy, Jupyter Notebook).
  • 2-3 years of E-commerce industry experience, or a Post-Doc at an Industry focused lab.
  • Strong interest in the e-commerce, supply chain logistics, and pricing workspace.
  • Familiarity with cloud computing (Azure) and ML technologies deployed on them (HDFS, Hive, Kafka, AzureML, Spark, Keras, Tensorflow, etc).
  • An understanding of the differences between and how to use CNN, RNN, Deep Learning and other cutting edge approaches.
  • Nice to have: Spring/Boot and Java experience.


Experience:

  • Designing, building, and deploying Machine Learning models for advanced analytics.
  • Identifying patterns and answer key questions in the data correlation and time series analysis, clustering and other methods.
  • Creating and engineering successful POC's directly for clients. We need someone skilled enough to design the model, code a functional POC and directly interact with the end client to prove our approach.
  • Performing exploratory data analyses on multivariate data sets.
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