ZipRecruiter

Log In

1

Data Scientist With Sagemaker Jobs in Reston, VA

Cmu

Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... KServe, SageMaker, Vertex AI, or similar) * Experience working with big data (Spark, Trino ...

Intellectix

Data Scientist

Springfield, VA · On-site

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex). * Experience ...

Intellectix

Data Scientist

Springfield, VA · On-site

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex). * Experience ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$165K - $210K/yr

Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide future work and be confident to present information to decision makers. The ...

previous pagenext page

Showing results 21-40

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 Aug 12, 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 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 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?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.

Data Scientist with Security Clearance

GRVTY

Fairfax, VA • On-site

Other

Re-posted 20 days ago

Job description

What Impact You'll Have GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest. What You'll be Owning GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. The Data Scientist will be working in a fast-paced, dynamic, agile software development environment. The multi-disciplinary project team works together on multiple projects that includes automating processing of large forensic images, extracting and enriching metadata, and displaying resulting information in meaningful ways for analysts to conduct assessments. Team members utilize a mix of COTS and GOTS tools and technologies; as well as build integrations with a variety of external partner applications. Most solutions are cloud-based. The Sponsor adheres to Agile Scrum development methodology best practices and has 2-week sprint cycles. What You Must Have * Demonstrated experience building production data pipelines and ETL/ELT workflows at scale. * Demonstrated experience with Apache Spark and PySpark for distributed data processing. * Demonstrated experience with advanced Python programming skills including data manipulation libraries (Pandas, NumPy) and data engineering best practices. * Demonstrated experience understanding data security, privacy, governance, and compliance principles. * Demonstrated experience with workflow orchestration tools such as Step Functions and Airflow. * Demonstrated experience with containerization such as Docker or Podman, and deploying data applications in cloud environments. * Demonstrated experience with AWS services (in particular S3, Lambda, and Step Functions). * Demonstrated experience with PostgreSQL and MySQL in production environments, including performance tuning and schema design. * Demonstrated experience with SQL and query optimization for complex analytical workloads. * Demonstrated experience with version control (Git) and CI/CD practices for data pipelines. * Demonstrated experience working with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight. * Demonstrated experience with strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks. #LI-BPJ

Apply