Lead Data Scientist - Machine Learning

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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.

Norfolk Southern is seeking a Lead Data Scientist - Machine Learning to lead the design, development, deployment, and monitoring of advanced machine learning solutions that drive operational efficiency, safety, reliability, and business value across the enterprise.

This role combines deep technical expertise in machine learning with strong leadership and business engagement skills. The Lead Data Scientist will work closely with Data Engineering, Business Intelligence, Software Engineering, and business stakeholders to identify opportunities, develop scalable solutions, and mentor a team of data scientists. This position will focus on Machine Learning models (regression, classification, clustering, etc.) and it will not have a Computer Vision focus.

Hands-on role requiring the individual to conduct research, develop and deploy analytical models, and take partial ownership of productionization activities to ensure successful implementation of solutions.

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 lab. But 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.

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. 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. The team is responsible for modeling operational data to develop data-driven solutions for network optimization problems, including ETA prediction and other transportation and logistics use cases. The team provides a wide range of ad hoc analytical support and insights to diverse stakeholder groups.

• Lead the design, development, validation, and deployment of machine learning solutions.
• Architect end-to-end ML workflows from data acquisition through production deployment and monitoring.
• Establish standards and best practices for model development, experimentation, testing, and governance.
• Drive…