Top 5 Lead data scientist Jobs in Arkansas

Lead Data Scientist
Tyson Foods —Springdale, AR
- Online Application
- Background check
- Computer Science
- System design
- Dental insurance
- 401(k)
21h
Lead AI / ML Engineer
Accenture —Bentonville, AR
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid holidays
- Disability insurance
6d
Snowflake Advanced AI Solution Lead
Accenture —Bentonville, AR
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
1d
(USA) Senior Manager, Data Science (AI Technical Lead) – Next-Gen Customer Engagement & Returns
Walmart —Bentonville, AR
- $110,000 - $220,000 a year
- Computer Science
- High school
- System design
- Paid jury duty
- Disability insurance

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AI/ML Developer - AI Trainer
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Lead AI / ML Engineer
Accenture —Bentonville, AR
Excellent documentation and presentation skills for technical and non-technical audiences. Experience on big data technologies and tools (e.g., Hadoop, Spark).
$87,400 - $293,800 a year
6d

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Lead Data Scientist

Tyson Foods -
Springdale, AR

Apply Now

Job Details

Full-time
21 hours ago

Benefits

Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

AI models
Containerization systems
Image processing
Computer vision
System design
Git
Scalable systems
Maintaining data pipelines
System design for system development
Machine intelligence
Model deployment
Version control systems
Scalability
Developing and maintaining backend systems
System deployment
Distributed computing
Machine learning libraries
Design (software development lifecycle)
MLOps
Web services design

Full Job Description

Job Details:

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.

Please submit resume online through this site.

Relocation Assistance Eligible:

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.

Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.

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.

We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.

If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here .

Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

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lead data scientist jobs in arkansas

Lead Data Scientist

Lead AI / ML Engineer

Snowflake Advanced AI Solution Lead

(USA) Senior Manager, Data Science (AI Technical Lead) – Next-Gen Customer Engagement & Returns

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