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Data Scientist (Machine Learning Scientist)

Open Systems, Inc.

This is a Full-time position in Atlanta, GA posted March 18, 2021.

nn Who we are and what we do: nn nn
· The AI and Data Science team is centralized across the entire organization.nn nn
· We work with various product teams across various business units to define high-impact business problems, solve them using novel techniques, and execute and monitor them throughout their lifecycle.nn nn
· Most of our models make it to production, they never sit in a research lab.

But we also do quite a bit of research to stay up to date with the latest technologies/algorithms.nn nn
· We are very collaborative; you will likely get lots of ideas from the team.nn nn What kind of problems do we solve?

nn nn
· Our locomotives stream 350+ sensor information in real-time.

We create predictive models to predict various component failures hours, days, and sometimes months in advance.nn nn
· There are high-frame cameras beside our tracks, capturing images of trains and rail cars as they pass.

We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects.

We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections.nn nn
· Want to learn more?

Apply today!nn nn What tools do we use?

nn nn
· We use Python, R, and Spark (PySpark, SparkR) for modeling and EDA.nn nno You will have a local machine with 512GB of memory, so feel free to load the data in memory if it makes sense or if it fits (!)nn nn
· You will also have terabytes of memory in our Spark cluster that is not shared by anyone.nn nn
· We use Jupyter notebook, Emacs, PyCharm, Rstudio as IDEs.nn nn
· We use Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision.nn nn
· We always have the latest versions of our tools/packages/libraries available.nn nn What are our requirements?

nn nn
· Bachelor’s, Master’s or Ph.D.

in Computer Science, Electrical Engineering, Machine Learning, Statistics or related fieldnn nn
· Minimum of 1 year of relevant industry experience (as a Data Scientist, Research Scientist, Machine Learning Engineer, etc.), 2+ preferred; or proven qualifications.nn nn
· Hands-on and theoretical knowledge of various Machine Learning algorithms and tools, e.g.

xgboost/LightGBM, Random Forests, SVMs, PCA, t-sne, kmeans, DBSCAN, etc.nn nn
· Expertise with Time Series problems is a plusnn nn
· Excellent knowledge of Python and/or Rnn nn
· knowledge of Spark (PySpark and SparkR) is a plusnn nn What will be your duties?

nn nn
· Effectively utilize appropriate statistical, Machine Learning, and Deep Learning models and techniques to solve various business problemsnn nn
· Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases.nn nn
· Evaluate accuracy and quality of data sources, as well as the designed modelsnn nn
· Stays up to date with the latest models and changes in the technologynn nn
· Communicate results to colleagues and business partners.nn nn Disclaimer nn nn
· This position will focus on Statistics and Machine Learning models (regression, classification, clustering, etc.) and it will not have a Computer Vision or Deep Learning focus.nn
– provided by Dice


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