About the Job
Is Data Science a passion for you instead of just a job? Are you a curious high performer? Do you want to work on a team that values harmonious collaboration? Is your desire to learn and reinvent? We are looking for a talented Data Scientist to join our dynamic startup team to work on the cutting edge of machine learning. If this is you, please keep reading!
- Design, build and test machine learning algorithms for the analysis of predictive maintenance data
- Develop data fusion algorithms for analyzing signal data from multiple sensors
- Perform exploratory data analysis and visualizations of multivariate data sets
- Work closely with our software engineering team to deploy machine learning algorithms into production
- MS or PhD in Computer Science, Electrical Engineering, Statistics or a related quantitative field
- Excellent knowledge of one or more of: machine learning, signal processing, statistical modeling, time-series analysis, optimization
- Solid understanding of modern statistical data analysis techniques, such as Bayesian inference, Hidden Markov, and MCMC
- Strong programming skills in Python and/or Matlab
- Excellent knowledge of data structures, algorithms and modern OOP techniques
- Experience working with real-world noisy data sets
- Ability to work independently and meet deadlines
- Strong interpersonal and verbal communication skills
- Previous research experience with signal processing or data analysis
- Good working knowledge of C, C++ or Java / Scala
- Experience developing software in a Unix programming environment
- Familiarity with SQL, and noSQL databases
- Familiarity with cloud computing and big data technologies(Spark).
- Experience with one of the well known neural network libraries, such as Tensorflow, Theano, Caffe.
BigR.io is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data 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 machine learning, or building high-volume, highly-available systems, we consistently deliver.