Lead Data Scientist

Relha LLC; Springdale, Northern (AR, KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Paid time off

401(k) plans

Affordable health, life, dental,vision

Job summary

Tyson Foods, Inc. in Springdale, AR seeks a Lead Data Scientist to develop and implement analytics apps that transform raw data into actionable insights, with end-to-end testing, deployment smoke tests, and continuous monitoring.

You will co-own the MLOps roadmap and mentor teams on AI strategy and model evaluation. The role emphasizes scalable model deployment, cost efficiency, observability, and data science lifecycle governance, involving architecture patterns and reusable ML components in

Qualifications

• Bachelor's or equivalent in CS/Math/Stats; 3 years’ related experience (2 years for Master’s).
• Experience in ML with Scikit-Learn and TensorFlow.
• Experience in unstructured data ingestion and staging.
• Design and deployment of scalable RESTful services exposing ML models.
• Computer vision with advanced image processing and object segmentation.
• Distributed systems with messaging queues for async processing.
• Docker and Git for containerization and lifecycle management.

Responsibilities

• Co-own the MLOps roadmap and mentor teams on AI strategy and model evaluation/validation.
• Scale model deployment with emphasis on performance, cost, and observability.
• Develop end-to-end testing, integration and smoke testing in ML pipelines.
• Broaden data science lifecycle governance with roadmaps tied to business outcomes.
• Contribute to reusable ML architecture patterns.

Skills

Machine Learning

Data Engineering

RESTful APIs

Computer Vision

Distributed Systems

Education

Bachelor's or Master’s in Computer Science, Mathematics, Statistics or related field

Tools

Docker

Git

Job description

Tyson Foods, Inc. has an opening for Lead Data Scientist in Springdale, AR. Develop and implement a set of 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 machine learning operations (MLOps) roadmap, support and mentor teams in achieving milestones, showing leadership in artificial intelligence (AI) strategy and the practical application of model evaluation and validation. Responsible for scaling and cost-efficient model deployment, ensuring responsiveness and observability. Execute complex software testing practices, including end-to-end, integration, and smoke testing in machine learning pipelines. Scale model deployment with an emphasis on performance, cost, and observability, including model monitoring at appropriate cadences. 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.

Job requirements:

Requires a 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 related occupation. Alternatively, the Employer will accept 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 related occupation.

Experience must include at least 2 years of experience 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.

Relocation Assistance Eligible:

No

Work Shift:

1ST SHIFT (United States of America)

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.

Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.

• paid time off
• 401(k) plans
• affordable health, life, dental, vision and prescription drug benefits
• and more

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