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Data Scientist With Sagemaker Jobs in Springfield, MO

Brightli

Principal AI Engineer

Springfield, MO

... with a focus on Snowflake integration. This hands-on role develops natural language-to-SQL ... Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

... the data platform with a focus on Snowflake integration. This hands-on role develops natural ... Science, Information Systems, or related field • 7+ years of experience in data, analytics ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

We're looking for a creative, systems-thinking engineer with strong data platform expertise ... Science, Information Systems, or related field. • 7+ years of experience in data, analytics ...

Husch Blackwell Llp

Senior Software Engineer

Springfield, MO · On-site +1

$109K - $144K/yr

Collaborate with Information Engineers, designers, and data scientists to deliver engaging data stories, visualizations, and user interfaces that serve organizational goals. * Write and maintain ...

Husch Blackwell LLP

Senior Software Engineer

Springfield, MO · On-site +1

$109K - $144K/yr

Collaborate with Information Engineers, designers, and data scientists to deliver engaging data stories, visualizations, and user interfaces that serve organizational goals. * Write and maintain ...

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All JobsData Scientist With Sagemaker JobsData Scientist With Sagemaker Jobs in Springfield, MO

Data Scientist With Sagemaker information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do data scientist with sagemaker jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist with sagemaker in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a data scientist with SageMaker?

A Data Scientist with SageMaker is a professional who leverages Amazon SageMaker, a cloud-based machine learning platform, to build, train, and deploy machine learning models at scale. They are skilled in data analysis, statistical modeling, and using SageMaker's tools for tasks such as data preprocessing, model selection, and automated machine learning (AutoML). These data scientists streamline workflows by taking advantage of SageMaker's integrated Jupyter notebooks, managed training, and deployment services to deliver insights and predictive solutions efficiently.

What are the key skills and qualifications needed to thrive as a data scientist with SageMaker?

To thrive as a Data Scientist with SageMaker, you need strong skills in statistics, machine learning, programming (Python, R), and a solid background in data analysis, typically supported by a relevant degree. Mastery of AWS SageMaker, cloud platforms, version control tools, and certifications like AWS Certified Machine Learning are highly valued. Excellent problem-solving, communication, and the ability to work collaboratively set outstanding professionals apart in this role. These skills are crucial for building, deploying, and explaining scalable machine learning models that deliver real business value.

How does a data scientist with SageMaker typically collaborate with engineering and DevOps teams?

As a Data Scientist utilizing SageMaker, you will frequently collaborate with engineering and DevOps teams to ensure that your machine learning models are seamlessly integrated into production environments. This involves sharing model artifacts, working together on deployment pipelines, and optimizing cloud resource usage. Clear communication is essential, as you'll need to explain model requirements and performance metrics to technical stakeholders. Collaboration often includes conducting code reviews, troubleshooting deployment issues, and participating in discussions about scalability and security within AWS infrastructure.

What is the difference between Data Scientist With Sagemaker vs Data Scientist?

AspectData Scientist With SagemakerData Scientist
Required SkillsMachine learning, AWS Sagemaker, Python, data analysisData analysis, machine learning, Python, R, SQL
Work EnvironmentCloud-based platforms, AWS ecosystemOn-premises or cloud, various platforms
CertificationsAWS certifications beneficialData science certifications (e.g., CAP, DASCA)
Industry UsageTech, finance, healthcare using AWSBroad across industries

While both roles involve data analysis and machine learning, Data Scientist With Sagemaker specializes in deploying models using AWS Sagemaker, focusing on cloud-based solutions. In contrast, Data Scientist roles are broader, covering various tools and platforms. The Sagemaker role emphasizes cloud skills and AWS certifications, making it ideal for cloud-centric organizations.

What are popular job titles related to Data Scientist With Sagemaker jobs in Springfield, MO?

For Data Scientist With Sagemaker jobs in Springfield, MO, the most frequently searched job titles are:

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Data Scientist With Sagemaker jobs near you
Infographic showing various Data Scientist With Sagemaker job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.

Adjunct Faculty, Computing

Southwest Baptist University

Bolivar, MO • On-site

Part-time

Posted 16 days ago

Job description

Description
Position Summary
Southwest Baptist University invites applications for an Adjunct Faculty position in Computing. Primary teaching responsibilities will be delivered online, although in-person teaching can also be considered. The successful candidate will demonstrate excellence in teaching, a commitment to student success, and support for the mission of a Christ-centered university.
Essential Responsibilities
  • Teach assigned courses in computing-related disciplines, which may include:
    • Artificial Intelligence
    • Information Technology
    • Information Systems
    • Computer Science
    • Cybersecurity
    • Data Science
    • Software Development
    • Networking and related fields
  • Prepare and deliver engaging course materials aligned with departmental learning outcomes.
  • Maintain regular communication with students and provide timely feedback on assignments and assessments.
  • Foster a positive learning environment that encourages academic excellence, critical thinking, and ethical decision-making.
  • Maintain accurate course records and submit grades in accordance with university policies and deadlines.
  • Utilize the university's learning management system and instructional technologies effectively.
  • Support the mission and values of Southwest Baptist University through professional conduct and Christ-centered teaching practices.

Required Qualifications
  • Master's degree in a computing-related field such as:
    • Information Technology
    • Information Systems
    • Computer Science
    • Cybersecurity
    • Data Science
    • Software Engineering
    • Computer Engineering
    • Or a closely related computing discipline
  • Enrolled in, actively pursuing, or completed a Ph.D. in a computing-related field.
  • Demonstrated expertise in one or more computing disciplines relevant to the university curriculum.
  • Strong written, verbal, and interpersonal communication skills.
  • Commitment to student learning and academic excellence.

Faith and Mission Requirements
As a Christ-centered institution, Southwest Baptist University seeks faculty who actively support and promote its Christian mission.
Candidates must:
  • Demonstrate a commitment to Christian values and higher education.
  • Integrate faith and learning in a manner consistent with the mission and values of Southwest Baptist University.

Preferred Qualifications
  • Prior college-level teaching experience.
  • Experience teaching in online, hybrid, and/or traditional classroom environments.
  • Professional certifications relevant to computing disciplines.
  • Industry experience in computing, information technology, cybersecurity, software development, data science, or related areas.

Employment Status
  • Adjunct (part-time), non-tenure-track faculty appointment.
  • Courses assigned on a semester-by-semester basis according to departmental needs and faculty expertise.

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