NRG Energy
Data Scientist
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
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 the 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. Norfolk Southern's problem set is unique and our high-frame cameras beside our tracks capture 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 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. This position will focus on Statistics and Machine Learning models (regression, classification, clustering). Python, Spark, PySpark Jupyter notebook, PyCharm, VS Code as IDEs. Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision. Responsibilities
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. Education Required
Bachelors in computer science, electrical engineering, machine learning, statistics, or related field. Skills Required: 1-3 years of experience as a Data Scientist, Research Scientist, Machine Learning Engineer or Operations Research. Scripting and programming 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
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
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 the 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. Norfolk Southern's problem set is unique and our high-frame cameras beside our tracks capture 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 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. This position will focus on Statistics and Machine Learning models (regression, classification, clustering). Python, Spark, PySpark Jupyter notebook, PyCharm, VS Code as IDEs. Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision. Responsibilities
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. Education Required
Bachelors in computer science, electrical engineering, machine learning, statistics, or related field. Skills Required: 1-3 years of experience as a Data Scientist, Research Scientist, Machine Learning Engineer or Operations Research. Scripting and programming 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