Description
Requisition 39151: Data Scientist
A resume helps you stand out to hiring managers and recruiters; your resume communicates your experience and your brand. While it is not required, we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A complete resume helps us to better understand your unique background, relevant experiences, and passions. We look forward to learning about you.
Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you'll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.
Job Description
Who we are and what we do:
The Artificial Intelligence and Data Science team is centralized across the entire organization. This team works 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 lab. As a team, we do quite a bit of research to stay up-to-date with the latest technologies and algorithms. This team is high performance, collaborative, and idea generating.
What kind of problems do we solve:
Norfolk Southern's problem set is unique and our high-frame cameras beside our tracks, captures 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 optimize performance and deploy at the edge for real-time scoring and notify our mechanical personnel upon detections. 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. 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. This position will focus on Statistics and Machine Learning models. (regression, classification, clustering)
What tools do we use:
• Python, Spark, PySpark
• Jupyter notebook, PyCharm, VS Code as IDEs.
• Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision.
• Effectively utilize appropriate statistical, machine learning, and deep learning techniques to solve various business problems.
• Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases.
• Provide guidance, support and mentoring to junior team members.
• 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.
• Design and develop (almost) production ready code.
• Communicate results to colleagues and business partners.
• Coordinate with application development teams to integrate developed models with existing applications.
• Bachelors in computer science, electrical engineering, machine learning, statistics, or related field.
Skills Required:
• Bachelors in computer science, electrical engineering, machine learning, statistics, or related field.
• 1-3 years of experience as a Data Scientist, Research Scientist, Machine Learning Engineer or Operations Research.
• Scripting and programing experience with Python and knowledge of Spark.
Skills Preferred:
• Advanced degree, e.g., Ph.D. or M.S. in deep learning, neural networks, machine learning, data science, computer science, electrical engineering, engineering, statistics, engineering, industrial systems, mathematical sciences, applied mathematics, or Physics.
• 3+ years of experience as a Data Scientist, Research Scientist, Machine Learning Engineer, or Operations Research.
• Hands-on and theoretical knowledge of various machine learning and deep learning algorithm and frameworks such as: xgboost/LightGBM, Random Forests, SVMs, PCA, t-sne, kmeans, DBSCAN.
• Knowledge of Spark (PySpark) is a plus
• Knowledge of the cloud computing environment (e.g. Databricks) is a plus
• Expertise with Time Series problems.
• Familiarity with the railroad industry is highly preferred.
Work Conditions
Environment: Hybrid 3 days on-site and remote work 2 days per week.
Shift Work: No
On-Call: No
Weekend Work: No
Company Overview
Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country's population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com.
At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As 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 identity. Together, we power progress.
Apply on company website
Find Connections via Linkedin
