Lead Data Scientist

Tyson Foods
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-3 yearsEducation: bachelorsSkills: ["Leadership","Mentoring","AI strategy","Model evaluation","Cost optimization"]

Develop and deploy end-to-end machine learning applications that convert raw data into actionable insights. Own MLOps roadmap elements, mentor teams, and lead AI strategy with model evaluation, validation, monitoring, and observability. Build scalable, cost-efficient model deployment through robust software testing across ML pipelines, including end-to-end, integration, and smoke tests. Contribute reusable ML architecture patterns and manage data lifecycle roadmaps aligned to business and finance outcomes.

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Tyson Foods
Tyson Foods
1 day ago

Lead Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Develop and deploy end-to-end machine learning applications that convert raw data into actionable insights. Own MLOps roadmap elements, mentor teams, and lead AI strategy with model evaluation, validation, monitoring, and observability. Build scalable, cost-efficient model deployment through robust software testing across ML pipelines, including end-to-end, integration, and smoke tests. Contribute reusable ML architecture patterns and manage data lifecycle roadmaps aligned to business and finance outcomes.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop techniques and analytics applications to transform raw data into meaningful information.
  • •Own aspects of the MLOps roadmap, including model evaluation/validation, deployment scaling, and continuous monitoring.
  • •Execute end-to-end, integration, and smoke testing practices in machine learning pipelines, including deployment smoke tests and continuous monitoring.
  • •Scale model deployment with emphasis on performance, cost, and observability, including monitoring at appropriate cadences.
  • •Contribute to reusable machine learning architecture assets and patterns, and broaden data science lifecycle management with business-outcome verification.

Pay and Benefits

Perks:Paid Leave401kHealth InsuranceLife InsuranceDentalVision

Key Requirements

  • •Bachelor’s degree (or foreign equivalent) in Computer Science, Mathematics, Statistics, or related field, with 3 years of experience (or Master’s with 2 years).
  • •At least 2 years of experience in Machine Learning, including binary classifiers using Scikit-Learn and TensorFlow.
  • •At least 2 years of experience in Data Engineering, including managing unstructured data ingestion and staging.
  • •At least 2 years of experience designing and deploying scalable RESTful web services to expose machine learning models to production.
  • •At least 2 years of experience in deploying and version-controlling ML systems using Docker and Git, including related deployment/version control practices.
Experience:2-3 yearsMachine learningData engineeringComputer visionDistributed systemsMLOps
Education:Bachelor's in Computer Science, Mathematics, Statistics, or a related field
Skills:LeadershipMentoringAI strategyModel evaluationCost optimization
Tech Stack:Scikit-LearnTensorFlowRESTful web servicesComputer visionImage processingObject segmentationDistributed systemsMessage queuing systemsAsynchronous task processingDockerGitMLOpsModel monitoringObservabilitySmoke testingIntegration testingDeploymentVersion control

Company Brief

Tyson Foods
Tyson Foods is a global food company that produces and markets chicken, beef, and pork products, along with prepared foods and packaged protein brands for retail and foodservice customers.
Industry: Food Production
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Springdale, United States
Founded: 1935
Glassdoor
Glassdoor: 3.5
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