Who we are and what we do:
The ai and data science team is centralized across the entire organization.
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.
Most of our models make it to production, they never sit in a research labBut we also do quite a bit of research to stay up-to-date with the latest technologies/algorithms.
We are very collaborative, you will likely get lots of ideas from the team.
What kind of problems do we solve:
Our locomotives stream 350+ sensor information in real-timeWe create predictive models to predict various component failures hours, days, and sometimes months in advance.
There are high-frame cameras beside our tracks, capturing images of trains and rail cars as they passWe design various deep learning and computer vision algorithms to detect certain objects of interest or issues and defectsWe then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections.
Want to learn more? apply today!
What tools do we use:
We use python, r, and spark (pyspark, sparkr) for modeling and eda.
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 (!)
You will also have terabytes of memory in our spark cluster that is not shared by anyone.
We use jupyter notebook, emacs, pycharm, rstudio as ides.
We use tensorflow, keras, and pytorch for deep learning, and opencv for traditional computer vision.
We always have the latest versions of our tools/packages/libraries available.
What are our requirements:
Bachelor’s, master’s or ph.dIn computer science, electrical engineering, machine learning, statistics or related field
Minimum of 1 year of relevant industry experience (as a data scientist, research scientist, machine learning engineer, etc.), or proven qualifications.
Hands-on and theoretical knowledge of various machine learning algorithms and tools, e.gXgboost/lightgbm, random forests, svms, pca, t-sne, kmeans, dbscan, etc.
Expertise with time series problems is a plus
Excellent knowledge of python and/or r
Knowledge of spark (pyspark and sparkr) is a plus
What will be your duties:
Effectively utilize appropriate statistical and machine learning models and techniques to solve various business problems
Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases.
Evaluate accuracy and quality of data sources, as well as the designed models
Stays up to date with the latest models and changes in the technology
This position will focus on statistics and machine learning models (regression, classification, clustering, etc.) and it will not have a computer vision focus.
Norfolk southern corporation (nyse: nsc) is a fortune 300 organization and one of the nation’s premier transportation companiesIts norfolk southern railway company subsidiary operates approximately 19,500 route miles in 22 states and the district of columbia, serves every major container port in the eastern united states, and provides efficient connections to other rail carriersNorfolk southern is a major transporter of industrial products, including chemicals, agriculture, and metals and construction materialsIn addition, the railroad operates the most extensive intermodal network in the east and is a principal carrier of coal, automobiles, and automotive parts.
At norfolk southern, we believe in celebrating our individualityBy leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusionWe know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valuedAs such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identityTogether, we power progress.
Posted 30+ days ago