cargo one
Sr Data Scientist
Blue Yonder Defense Solutions, LLC. a Blue Yonder company, is the leader in supply chain autonomous planning, control towers, and provider of the Digital Supply Chain Network. BYDS is seeking a Senior ML/AI Engineer. As the Sr. MI/AI Data Scientist, you will be our in-house expert for all things AI/ML. This role is ideal for someone who enjoys rolling up their sleeves selecting models, preparing and cleaning data, building and training models, and helping integrate them into our applications. The ideal candidate will play a key role in upskilling our team and advising on the right tools and technologies as we mature in our AI/ML journey. What you'll do: Identify, develop, train, and validate ML models for use cases such as demand forecasting, predictive maintenance, optimization, and anomaly detection. Experiment with different model architectures and tuning techniques to maximize performance. Work with engineers to integrate trained models into production environments. Collaborate with product and engineering teams to identify, collect, clean, and prepare relevant datasets. Perform exploratory data analysis to uncover patterns and insights that drive model design. Evaluate and recommend the right frameworks, libraries, and platforms for different AI/ML use cases. Set up reproducible workflows for training, versioning, and deploying models. Share knowledge with engineers and analysts to build internal AI/ML capability. Help create lightweight documentation and best practices for the team to follow. Implement processes to monitor model performance in production. Assist in troubleshooting and retraining models as new data becomes available. Who You Are: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or any related field is required. Minimum of 8 years of expertise in applied machine learning and building data science models preferably in a product environment. Strong hands-on experience with Python and Machine Learning libraries/frameworks like scikit-learn, TensorFlow, PyTorch, or XGBoost. Experience preparing and working with large datasets using SQL, Pandas, or Spark. Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc. Familiarity with cloud platforms like AWS SageMaker, Azure ML, or GCP AI Platform. Ability to translate business problems into technical solutions and explain findings to non-technical stakeholders. Experience in supply chain, logistics, or manufacturing domains. Familiarity with optimization algorithms or simulation modeling.
Blue Yonder Defense Solutions, LLC. a Blue Yonder company, is the leader in supply chain autonomous planning, control towers, and provider of the Digital Supply Chain Network. BYDS is seeking a Senior ML/AI Engineer. As the Sr. MI/AI Data Scientist, you will be our in-house expert for all things AI/ML. This role is ideal for someone who enjoys rolling up their sleeves selecting models, preparing and cleaning data, building and training models, and helping integrate them into our applications. The ideal candidate will play a key role in upskilling our team and advising on the right tools and technologies as we mature in our AI/ML journey. What you'll do: Identify, develop, train, and validate ML models for use cases such as demand forecasting, predictive maintenance, optimization, and anomaly detection. Experiment with different model architectures and tuning techniques to maximize performance. Work with engineers to integrate trained models into production environments. Collaborate with product and engineering teams to identify, collect, clean, and prepare relevant datasets. Perform exploratory data analysis to uncover patterns and insights that drive model design. Evaluate and recommend the right frameworks, libraries, and platforms for different AI/ML use cases. Set up reproducible workflows for training, versioning, and deploying models. Share knowledge with engineers and analysts to build internal AI/ML capability. Help create lightweight documentation and best practices for the team to follow. Implement processes to monitor model performance in production. Assist in troubleshooting and retraining models as new data becomes available. Who You Are: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or any related field is required. Minimum of 8 years of expertise in applied machine learning and building data science models preferably in a product environment. Strong hands-on experience with Python and Machine Learning libraries/frameworks like scikit-learn, TensorFlow, PyTorch, or XGBoost. Experience preparing and working with large datasets using SQL, Pandas, or Spark. Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc. Familiarity with cloud platforms like AWS SageMaker, Azure ML, or GCP AI Platform. Ability to translate business problems into technical solutions and explain findings to non-technical stakeholders. Experience in supply chain, logistics, or manufacturing domains. Familiarity with optimization algorithms or simulation modeling.