BigR.io Data Scientist- Predictive Analytics in Boston, Massachusetts
Data Scientist- Predictive Analytics
USA and Canada (remote, minimal travel required)
W2- contract to hire, sorry no sponsorship or C2C!
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 solutions. 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 the job
Do you view Data Science as a passion instead of just a job? If so, join our team of talented, high-caliber Data Scientists, Architects, and Engineers and work on the cutting-edge applications of Machine Learning. You will use your excellent knowledge of data structures, algorithms, and modern OOP, and your solid understanding of modern statistical data analysis techniques (such as Bayesian inference, Hidden Markov, and MCMC) to work on a myriad of real-world noisy datasets and topic coherence.
An MS or PhD in Computer Science, Statistics, Physics, or any related Engineering field.
Strong experience in working with unlabelled data to create predictive analytic/predictive maintenance solutions.
Excellent knowledge of one or more of the following: Machine Learning, Signal Processing, Statistical Modeling, Time-Series Analysis, non-linear time series analysis, Optimization.
Hands on skills with Java/Scala, Python, Matlab, and/or R.
5+ years of professional corporate experience.
Familiarity with Relational and Non-Relational databases (NoSQL).
Familiarity with cloud computing and big data technologies (Hadoop, Hive, Spark, Tensorflow, etc).
Designed, built, and deployed Machine Learning models for advanced analytics.
You can identify patterns and answer key questions in the data using PCA, 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.
Performed exploratory data analyses on multivariate data sets.
Worked with one of the well known neural network libraries such as TensorFlow, Theano, or Caffe.