ZipRecruiter

Log In

1

Synthetic Data Jobs in Washington (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Generate and analyze synthetic data to augment computer vision models where real-world data is scarce * Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

NT Concepts

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

Generate and analyze synthetic data to augment computer vision models where real-world data is scarce * Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

shrm

AI/Synthetic Engineer

Alexandria, VA · Hybrid

$110K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Summary Build the organization's synthetic-audience capability: the data-grounding layer that connects first-party audience data to large language models, the synthetic-audience models themselves ...

SHRM

AI/Synthetic Engineer

Alexandria, VA · Hybrid

$110K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

OverviewBuild the organization's synthetic-audience capability: the data-grounding layer that connects first-party audience data to large language models, the synthetic-audience models themselves ...

Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Bart & Associates

Lead Data Scientist

Suitland, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create, maintain, and use synthetic data to support the full lifecycle of advanced data science * Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI ...

B&A

Lead Data Scientist

Suitland, MD

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create, maintain, and use synthetic data to support the full lifecycle of advanced data science * Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI ...

Bart and Associates, Inc

Lead Data Scientist

Suitland, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create, maintain, and use synthetic data to support the full lifecycle of advanced data science * Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI ...

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll ...

next page

Showing results 1-20

All JobsSynthetic Data JobsSynthetic Data Jobs in Washington

Synthetic Data information

What are the key skills and qualifications needed to thrive as a synthetic data engineer, and why are they important?

To thrive as a Synthetic Data Engineer, you need a strong background in computer science, statistics, and data modeling, usually with a degree in a related field. Experience with programming languages like Python or R, familiarity with machine learning frameworks, and knowledge of data privacy tools are essential. Strong analytical thinking, attention to detail, and effective communication help in designing robust data solutions and collaborating with stakeholders. These skills ensure the creation of high-quality synthetic datasets that support research, model training, and compliance with data privacy regulations.

What is the difference between Synthetic Data vs Data Analyst?

AspectSynthetic DataData Analyst
CredentialsNone required, but knowledge of data generation tools helpfulBachelor's degree in data science, statistics, or related field
Work EnvironmentData labs, software development teams, AI/ML projectsBusiness environments, analytics teams, reporting platforms
Industry UsageAI training, testing, privacy complianceData interpretation, reporting, decision support

While Synthetic Data involves creating artificial datasets for testing and training AI models, Data Analysts focus on interpreting real-world data to generate insights. Both roles require data literacy, but Synthetic Data specialists focus on data generation techniques, whereas Data Analysts analyze existing data to inform business decisions.

What are the main challenges faced by professionals working with synthetic data in a production environment?

One of the primary challenges in a synthetic data role is ensuring that the generated datasets accurately reflect real-world scenarios while maintaining privacy and compliance standards. Professionals often need to balance data utility with the risk of introducing bias or unrealistic patterns. Collaboration with data scientists, engineers, and domain experts is essential to validate results and integrate synthetic data into machine learning pipelines. Additionally, staying updated on evolving tools and best practices is crucial for maintaining data quality and relevance.

What is synthetic data and how is it used?

Synthetic data refers to artificially generated information that mimics real-world data but does not contain any actual personal or sensitive details. It is commonly used to train machine learning models, test software, and protect privacy when sharing datasets. By using synthetic data, organizations can avoid data privacy concerns and still gain valuable insights or test algorithms effectively. This approach is especially valuable in industries like healthcare and finance where real data may be restricted. Synthetic data can be generated using various statistical techniques, simulations, or machine learning models.

What are popular job titles related to Synthetic Data jobs in Washington?

For Synthetic Data jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Synthetic Data jobs in Washington look for?

The top searched job categories for Synthetic Data jobs in Washington are:

What cities in Washington are hiring for Synthetic Data jobs?

Cities in Washington with the most Synthetic Data job openings:

Synthetic Data jobs near you
Infographic showing various Synthetic Data job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

#JT

Apply