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Data Scientist With Sagemaker Jobs in Reston, 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 ...

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

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. • ...

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. • ...

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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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:
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

steampunk

Fairfax, VA • On-site

$125K - $160K/yr

Other

Re-posted 28 days ago


Job description

Overview 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. Contributions * Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities. * Develop machine learning models using frameworks such as scikit-learn, XGBoost , PyTorch , TensorFlow, or similar libraries. * Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance. * Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements. * Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate , complete, and consistent. * Collaborate with AI Developers and LLMOps / MLOps Engineers to integrate ML models into production environments or decision-support applications. * Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders. * Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback. * Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories . * Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows. * You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications * Ability to hold a position of public trust with the US government. * 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. * 2-4 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.