Lead Data Scientist

Tyson Foods, Inc. has an opening in Springdale, AR.

About the role

Develop and implement techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Responsible for end-to-end testing, including deployment smoke tests and continuous monitoring. Co-own the machine learning operations (MLOps) roadmap, support and mentor teams in achieving milestones, and demonstrate leadership in artificial intelligence (AI) strategy and the practical application of model evaluation and validation. Scale and deploy cost-efficient models with an emphasis on performance, responsiveness, and observability, including model monitoring at appropriate cadences. Execute complex software testing practices, such as end-to-end, integration, and smoke testing in machine learning pipelines. Broaden data science lifecycle management, involving roadmaps with business outcomes verified by business and finance teams. Contribute to the design of reusable machine learning architecture assets and patterns.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Mathematics, Statistics, or a related field, and 3 years of experience in the job offered or a related occupation.
• Alternatively, a Master’s degree or foreign equivalent in Computer Science, Mathematics, Statistics, or a related field and 2 years of experience in the job offered or a related occupation.
• Experience must include at least 2 years in each of the following:
  • Machine Learning, including binary classifiers using Scikit-Learn and TensorFlow.
  • Data Engineering, including managing unstructured data ingestion and staging.
  • Designing and deploying scalable RESTful web services to expose machine learning models to production.
  • Computer Vision, including applied advanced image processing techniques and object segmentation.
  • Distributed Systems, including architecting message queuing systems to handle asynchronous task processing.
  • Deployment and Version Control, including utilizing containerization and version control for software lifecycle management using Docker and Git.

Benefits

• Paid time off
• 401(k) plans
• Affordable health, life, dental, vision, and prescription drug benefits

Schedule

1st shift