Senior ML Lead — Production-Ready Models (Hybrid)

Norfolk Southern

Atlanta (GA)

Hybrid

USD 150,000 - 230,000

Full time

4 days ago
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Job summary

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

Qualifications

  • Master's or PhD in CS/EE/ML/Statistics or equivalent with strong ML background.
  • Proficient Python for modelling, data analysis and visualization.
  • Experience with ML model development, deployment, and monitoring.

Responsibilities

  • Lead design, development, validation, and deployment of ML solutions.
  • Architect end-to-end ML workflows from data to production.
  • Mentor junior data scientists and ML engineers.
  • Collaborate with stakeholders across departments to identify opportunities for analytics use-cases.
  • Evaluate data sources and model quality; stay up to date with latest ML techniques.

Skills

ML/Deep Learning
Python
Model deployment
Data analysis/Visualization
Leadership/Mentoring

Education

Master's or PhD in CS/EE/ML/Statistics
Bachelor's +7 years ML exp

Tools

XGBoost
LightGBM
Random Forests
SVMs
Spark (PySpark)
Databricks

Job description

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

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