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Data Scientist With Sagemaker Jobs (NOW HIRING)

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. * Strong stakeholder management skills and the ability to ...

InstantServe LLC

Data Scientist

Jackson, MS · On-site

Jackson, MS 39201 Duration: 12 Months (Onsite Role) The Medicaid Data Scientist will work with the client's data, business, and IT teams to develop advanced reports and conduct analysis of healthcare ...

Raas Infotek LLC

Data Scientist

Atlanta, GA

W2 Only Job Summary We are seeking a Senior Data Scientist with 12+ years of experience in data science, machine learning, and advanced analytics. The ideal candidate will develop predictive models ...

SPA

Data Scientist with Security Clearance

San Diego, CA

$125K - $144K/yr

SPA is looking for a Mid-Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare Systems Command ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. * Strong stakeholder management skills and the ability to ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda * Strong ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda * Strong ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

United Airlines

AWS Data Scientist

Atlanta, GA

$85K - $105K/yr

Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda * Strong ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

United Airlines

AWS Data Scientist

Atlanta, GA

$80K - $90K/yr

Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda * Strong ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

Select Minds LLC

Data Scientist

Dallas, TX

$65 - $75/hr

Data Scientist Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must ... Preferred Experience - Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR ...

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Data Scientist With Sagemaker information

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$37.5K

$122.7K

$196.5K

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

As of Jun 14, 2026, the average yearly pay for data scientist with sagemaker in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

How does a Data Scientist working 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 the key skills and qualifications needed to thrive as a Data Scientist with SageMaker, and why are they important?

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.
More about Data Scientist With Sagemaker jobs
What cities are hiring for Data Scientist With Sagemaker jobs? Cities with the most Data Scientist With Sagemaker job openings:
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Data Scientist With Sagemaker jobs near you
Infographic showing various Data Scientist With Sagemaker job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 5% As Needed, 88% Full Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Tailored Access, LLC

King, NC

Other

Posted 21 days ago

Job description

What You'll Be Doing: We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility.

Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments. What Impact You'll Have: We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community.

The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You Have to Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly.

10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement) * Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions. * Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.

* Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools. * Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms. * Strong SQL skills and experience querying relational databases.

* Experience using Git-based version control platforms such as GitLab or GitHub. * Proficiency with geospatial processing frameworks such as GDAL or ArcPy. * Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.

* Ability to write clear, concise technical documentation related to software systems and automated workflows. * Ability to operate independently at a senior level with limited oversight. * Familiarity with USSOCOM and broader U.S.

military organizational structures. * Familiarity with common Intelligence Community (IC) data repositories.

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