Senior Data Scientist
Atlanta, GA, US, 30318
Norfolk Southern
Since 1827, we've safely moved the goods and materials that keep America rolling. Norfolk Southern operates 24/7 in 22 states with connections across the globe.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
Norfolk Southern is a unique experience, where heritage, stability, and innovation live together. We are one of the largest railroad operators in the country and that provides premium shipping service and reliable logistics solutions for customers in 22 states including the District of Columbia. In combination with business partnerships and connections with other carriers, NS ships every product imaginable to and from any destination, linking communities and customers to the marketplaces of the world.
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.
What tools do we use:
- Python, R, and Spark (PySpark, SparkR, Scala)
- Terabytes environment with Spark cluster
- Jupyter notebook, Emacs, PyCharm, Rstudio 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.
Skills Required:
- Bachelors in computer science, electrical engineering, machine learning, statistics, or related field.
- 2-3 years of experience as a Data Scientist, Research Scientist, Machine Learning Engineer, Computer Vision Scientist.
- 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.
Skills Preferred:
- Masters or Ph. D in computer science, electrical engineering, machine learning, statistics or related field.
- 3+ years of experience as a Data Scientist, Research Scientist, Machine Learning Engineer, Computer Vision Scientist.
- Expert scripting and programing with Python, R, and knowledge of Spark.
- Expertise with Time Series problems.
- Familiarity with the railroad industry is highly preferred.
Work Conditions
Environment: Office remote, ideal candidate must be based or relocated within 60 miles Atlanta.
Shift Work: No
On-Call: Yes
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Deep Learning Engineering Jupyter Keras LightGBM Machine Learning MXNet OpenCV PySpark Python PyTorch R Research Scala Spark Statistics TensorFlow XGBoost
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs