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Data Scientist With Sagemaker Jobs in Reston, VA

B/Core

Data Scientist with Security Clearance

Reston, VA · On-site

$130K - $165K/yr

Data Scientist Reston, VA (hybrid/remote) - this role requires that you are onsite 2 days a week ... Experience with AWS SageMaker or similar cloud-native ML toolsets within a GovCloud environment

GRVTY

Data Scientist

Chantilly, VA

What Impact You'll Have Our team is charged with taking commercial and academic innovation high ... This project regularly needs various types of people - Data Scientists, Data / ETL Engineers ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

Spatial Front, Inc. is seeking a Data Scientist to support our growing team. The ideal candidate ... Sagemaker, Kiro, and AmazonQ. • Proficiency with scikit-learn, TensorFlow, PyTorch, or R. • ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

Job Summary : Spatial Front, Inc. (SFI) is a recognized workplace seeking a Data Scientist to ... Sagemaker, Kiro, and AmazonQ. • Proficiency with scikit-learn, TensorFlow, PyTorch, or R. • ...

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All JobsData Scientist With Sagemaker JobsData Scientist With Sagemaker Jobs in Reston, VA

Data Scientist With Sagemaker information

See Reston, VA salary details

$39K

$127.7K

$204.4K

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

As of Jul 28, 2026, the average yearly pay for data scientist with sagemaker in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is the highest paid job in data science?

The highest paid roles in data science typically include senior data scientists, machine learning engineers, and data science managers, especially those with expertise in advanced tools like SageMaker, deep learning, and big data platforms. These positions often require extensive experience, specialized skills, and sometimes certifications, leading to salaries that can exceed $150,000 annually depending on the industry and location.

Can data scientists make $300k?

Data scientists with experience, advanced skills, and expertise in tools like SageMaker can potentially earn $300,000 or more, especially in high-demand industries or senior roles. Achieving this salary often requires several years of experience, specialized knowledge, and sometimes leadership responsibilities.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Skills in programming, statistics, and tools like SageMaker can be acquired through online courses and certifications, making career changes feasible regardless of age.

Will AI replace data scientists?

Data scientists with expertise in tools like SageMaker play a key role in developing and deploying AI models. While AI can automate certain tasks, data scientists are essential for designing, interpreting, and improving models, making their role complementary rather than replaceable by AI alone.

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.
What are popular job titles related to Data Scientist With Sagemaker jobs in Reston, VA? For Data Scientist With Sagemaker jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Scientist With Sagemaker jobs in Reston, VA look for? The top searched job categories for Data Scientist With Sagemaker jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Scientist With Sagemaker jobs? Cities near Reston, VA with the most Data Scientist With Sagemaker job openings:
Data Scientist With Sagemaker jobs near you
Infographic showing various Data Scientist With Sagemaker job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Data Machines

Reston, VA • On-site

$90K - $150K/yr

Other

Posted 4 days ago

Job description

Location: On-site in Reston, VA Salary Range: $90,000-$150,000 Job Description: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. This position will be based out of our Reston, VA office with a 3 day a week onsite requirement. Responsibilities: Data Machines seeks an energetic data scientist with the desire to work with a tightly-knit team supporting the development and production of cutting-edge defense and intelligence capabilities. The ideal candidate will apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. They will provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. The candidate will design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. The ideal candidate will develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Finally, they will identify trends and problems through complex big data analysis and will maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Minimum Qualifications: * Four (4) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related field
* BS in software Engineering or at least 4 years of experience managing data science projects
* At least three (2) years of direct experience in machine learning Demonstrates knowledge of data mining methods, databases, data visualization and machine learning
* Ability to communicate analysis techniques, concepts, and products
* Ability to develop data-driven solutions, data models, and visualizations Data Bricks Certification
* Must be able to pass a background check and a drug screen
Education: * Advanced Degree (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
* Experience with open-source cloud tools (e.g. Docker, Kubernetes, OpenStack)
* Experience with public cloud (e.g. AWS, Azure) security
* Software Development Experience (any language)
* Ability to obtain a Secret clearance.

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