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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 ...

New

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. • ...

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. • ...

JS Consulting

Data Scientist

Washington, DC · On-site

Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine ... junior data scientists, in graphical, verbal, or written formats. * Demonstrated experience ...

Brillient

Data Scientist

Silver Spring, MD

The Data Scientist with input from other scientific discipline reviewers, reviews these data to determine if the data are sufficient to justify changes in the labeling. * * The Data Scientist ...

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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 19, 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, 83% Full Time, 13% Part Time, and 3% 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

Data Scientist with Security Clearance

steampunk

Fairfax, VA • On-site

$125K - $160K/yr

Other

Re-posted 4 days ago

Job description

Overview In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk , our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Contributions We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Experience modeling on structured and unstructured data sets * Experience with exploratory data analysis * Experience in feature engineering * Experience in data visualization * Experience with Deep Learning methodology and state of the art libraries * Knowledge of data collection methods, capabilities, and tasking process * Ability to leverage multiple data management tools to organize relevant information and make decisions * Support an Agile software development lifecycle * You will contribute to the growth of our Data Exploitation Practice! Qualifications * Ability to hold a position of public trust with the US government. * 5+ years industry experience developing ML/AI solutions and a passion for solving complex problems. * 3+ years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline * Demonstrated experience manipulating structured and unstructured data for analysis * Strong programming skills in SQL, Python, R, Scala, Java, or similar language * Experience using Python to manipulate large data sets * Experience with DevSecOps, as it applies to data science * Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks * Demonstrated experience in big data systems including Hadoop, Spark, Scala * Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar * Experience with Git, Bash, Unix commands * Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc. * Familiarity with Flask is a plus * Knowledge of DBOps and MLOps framework is a plus * Experience with Solr, Elasticsearch, or similar tool is a plus About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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