Lead Data Scientist: ML & MLOps for Scalable AI

Tyson Foods

Springdale, Northern (AR, KY)

Hybrid

USD 110,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Paid time off
401(k) plans
Health, dental, vision benefits

Job summary

Tyson Foods, Inc. in Springdale, AR seeks a Lead Data Scientist to develop analytics applications translating raw data into actionable insights. You will co-own the MLOps roadmap, mentor teams, and lead AI strategy with practical model evaluation and validation.

The role emphasizes scalable deployment, cost efficiency, and observability, plus end-to-end testing and monitoring across ML pipelines to drive business outcomes.

Qualifications

  • Bachelor's degree or foreign equivalent in Computer Science, Mathematics, Statistics.
  • 3 years of related experience in data science or ML roles.
  • Experience with ML including binary classifiers using Scikit-Learn and TensorFlow.
  • Experience with data engineering, unstructured data ingestion and staging.
  • Experience designing and deploying scalable RESTful services to expose ML models.
  • Experience with computer vision and distributed systems.

Responsibilities

  • Develop and implement analytics applications to transform raw data into meaningful information.
  • Co-own MLOps roadmap and mentor teams on AI strategy and model evaluation/validation.
  • Scale model deployment with emphasis on performance, cost, and observability.
  • Execute end-to-end testing including deployment smoke tests and monitoring of ML pipelines.
  • Broaden data science lifecycle management and contribute reusable ML architecture assets.

Job description

Tyson Foods, Inc. in Springdale, AR seeks a Lead Data Scientist to develop analytics applications translating raw data into actionable insights. You will co-own the MLOps roadmap, mentor teams, and lead AI strategy with practical model evaluation and validation.

The role emphasizes scalable deployment, cost efficiency, and observability, plus end-to-end testing and monitoring across ML pipelines to drive business outcomes.

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