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Data Scientist With Sagemaker Jobs in Colorado (NOW HIRING)

You enjoy working with clients, mentoring junior data scientists as well as coding for turnkey ... Exposure to Amazon's Glue, Athena, and SageMaker services will help you ramp upAbility to design ...

You enjoy working with clients, mentoring junior data scientists as well as coding for turnkey ... Exposure to Amazon's Glue, Athena, and SageMaker services will help you ramp upAbility to design ...

We need a Data Scientist with strong presentation skills and deep analytics expertise who can translate complex insights into clear business narratives and drive AI/ML initiatives. Key Requirements:

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

About the RoleWe're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate ...

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Data Scientist With Sagemaker information

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 Colorado?

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

What cities in Colorado are hiring for Data Scientist With Sagemaker jobs?

Cities in Colorado with the most Data Scientist With Sagemaker job openings:

Data Scientist with Six Signa Black Belt

NAVA Software Solutions

Greenwood Village, CO • On-site

Full-time

Re-posted 18 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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