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Data Scientist With Sagemaker Jobs (NOW HIRING)

Data Scientist

Washington, DC ยท On-site

$64.98/hr

Requirements * BS Degree in STEM or higher; 7+ years of overall experience with at least 1+ year in Generative AI and AWS Sagemaker. * Experience in predictive modeling, data science, and machine ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... Experience with AWS services (SageMaker, Lambda, S3, Redshift). โ€ข Preferred: Experience with deep ...

The Data Scientist II is expected to independently lead analyses and model development projects ... SageMaker, S3) and Snowflake. * Familiarity with MLOps tools and practices, including MLflow ...

We are looking for a Data Scientist with strong experience in Python, SQL, and Machine Learning. The candidate should be comfortable working with large datasets, building predictive models, and ...

Contract * 50% - Consulting with internal teams (economists, analysts) to design and implement AI ... Implement solutions using AWS AI services (Bedrock, SageMaker, Textract, Databricks etc.) * Ensure ...

The Data Scientist II is expected to independently lead analyses and model development projects ... SageMaker, S3) and Snowflake. * Familiarity with MLOps tools and practices, including MLflow ...

The Data Scientist II is expected to independently lead analyses and model development projects ... SageMaker, S3) and Snowflake. * Familiarity with MLOps tools and practices, including MLflow ...

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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:
What states have the most Data Scientist With Sagemaker jobs? States with the most job openings for Data Scientist With Sagemaker jobs include:
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 Six Signa Black Belt

Data Scientist with Six Signa Black Belt

NAVA Software Solutions

Greenwood Village, CO โ€ข On-site

Full-time

Posted 11 days ago


Job description

NAVA Software solutions is looking for a Data Scientist with Six Signa Black Belt
Details:
Data Scientist with Six Sigma Black Belt
Denver CO - Onsite
Duration: 12 months
Job Description :
Candidate should have a Black belt in Six Sigma. The client will consider only those candidate that does have this certification. They need to not only have this certification but have to be actively using in their current role and clearly understand how to implement the DMAIC-R model.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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