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BLN24

Federal digital modernization, branding, data management

Technical SME Data Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMcLean, VA, USANo salary listedIn-person

About the Job

Requirements

  • At least 5 years of professional experience with decision analysis and machine learning algorithms implemented in a cloud-native environment, including decision trees, random forests, gradient-boosted trees, linear regression, collaborative filtering, or K-means.
  • Experience with Spark architecture and internals, core APIs, SparkSQL and other high-level data-access tools, and Spark streaming capabilities, or similar technologies.
  • Experience performing data cleaning and creating comparative trend analyses on large-scale data.
  • Experience translating organizational goals into working machine-learning models, statistical models, or pattern-recognition solutions.
  • Experience working with open-source and community solutions and using GitHub for source-code management.
  • Bachelor's degree in Mathematics, Data Science, or a similar field.

Responsibilities

  • Design, build, and implement decision-analysis and machine-learning models, including decision trees, random forests, gradient-boosted trees, linear regression, collaborative filtering, and K-means, in a cloud-native environment.
  • Develop large-scale data-processing pipelines using Spark core APIs, SparkSQL, and streaming capabilities.
  • Perform data cleaning and create comparative trend analyses on large-scale datasets.
  • Translate organizational goals into working machine-learning models, statistical models, and pattern-recognition solutions.
  • Ensure machine-learning and AI model work complies with the Bureau's AI governance policy and OMB M-24-10 or successor documentation and bias-testing requirements.
  • Contribute to open-source and community solutions and manage source code in GitHub.
  • Collaborate with program, policy, and technical teams to communicate findings and model results.

Desired Qualifications

  • Master's degree in Mathematics, Data Science, or a similar field.
  • At least 5 years of experience using Amazon Web Services EMR Spark.
  • Experience with Zeppelin or similar interpreters.
  • Familiarity with federal AI governance requirements, including model documentation and bias testing.
  • Prior engagement at the CFPB or other federal financial regulators, such as the FDIC, OCC, SEC, FRB, or NCUA.
  • Experience supporting a federal FISMA Moderate or comparable security-compliance environment.

About the Company

BLN24

Federal digital modernization, branding, data management

BLN24 delivers human-centered services to federal agencies in digital modernization, branding, data management, and customer experiences, with a focus on the healthcare sector. It starts with in-depth client analysis and uses cross-disciplinary teams in strategy, technology, and user experience to design and implement practical solutions, emphasizing clear communication and measurable outcomes. The company differentiates itself through mission-focused, government-oriented projects and a diverse, collaborative delivery model across multiple domains. Its goal is to help federal agencies succeed by providing practical, multidisciplinary solutions that improve digital systems, data practices, brands, and user experiences, while maintaining a diverse and committed workplace.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Tysons, VA
Founded
2017

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