Node.Digital
Node.Digital

60 Node.Digital Data Jobs Hiring Near You

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

US Citizenship Node.Digital is an innovative solutions development company that combines agile ... Strong knowledge of algorithms, data structures, complexity, optimization, caching and security

Node is seeking an AI/ML Engineer to support this critical customer mission. The AI/ML Engineer ... Develop automated data pipelines for machine learning technology integration initiatives * Create ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices ...

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide authoritative expertise on data engineering methods and best practices ...

Multi Cloud Engineer

Chantilly, VA

$57 - $76.25/hr

Demonstrated experience and knowledge of cloud-based networks with very high data security ... Demonstrated experience with analog and digital communications with Satellite, terrestrial TV, AM ...

Multi Cloud Engineer

Chantilly, VA · On-site

$57 - $76.25/hr

... data security requirements. • Demonstrated experience with AWS and cloud services to include API ... Optional Skills: • Demonstrated experience with analog and digital communications with Satellite ...

Multi Cloud Engineer

Chantilly, VA · On-site

$57 - $76.25/hr

Demonstrated experience and knowledge of cloud-based networks with very high data security ... Demonstrated experience with analog and digital communications with Satellite, terrestrial TV, AM ...

The Contractor Team shall coordinate with multiple entities throughout the Sponsor organization to ensure solutions, small applications, data structures and workflows meet defined requirements and ...

Showing results 41-60

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    Infographic showing various Data job openings at Node.Digital in the United States as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

    Senior Data Scientist (NLP and Unstructured Data Analytics)

    Washington, DC • On-site, Remote

    Node.Digital
    Software Development • 11 - 50 employees

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Re-posted 13 days ago


    Job description

    Senior Data Scientist (NLP and Unstructured Data Analytics)

    Location: Herndon, VA (Remote Work)

    Must have a Public Trust Clearance

    KEY RESPONSIBILITIES

    • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi structured text, using optical character recognition, semantic similarity algorithms, and large language models as needed.
    • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
    • Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches.
    • Review, maintain, and support all existing loan fraud indicators developed by TSD.
    • Perform data quality analysis on source tables and develop repeatable processes for combining and analyzing large data sources.
    • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, and adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
    • Develop case leads for SBA OIG investigations from model outcomes.
    • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
    • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.
    • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
    • Coordinate with the data engineering seat so the architecture supports machine learning and text processing pipelines efficiently.
    • Create programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
    • Identify new business questions that expand the scope of analysis and reporting.

    Requirements

    Required

    Education

    Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

    • 5+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
    • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
    • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
    • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
    • 3+ yearsManipulating data in Python. Pandas is required.
    • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
    • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
    • 2+ yearsDeveloping and scaling natural language processing solutions.
    • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

    PREFERRED QUALIFICATIONS

    • Production experience with named entity recognition and entity resolution across messy document corpora.
    • Retrieval augmented generation, vector stores, embeddings, and semantic search at scale.
    • Large language model integration under federal security constraints, including boundary controlled deployment and prompt versioning.
    • Optical character recognition pipelines applied to scanned or low quality source documents.
    • Topic modeling, document classification, or clustering applied to audit, legal, or investigative text.
    • Cloud certification in Azure, AWS, or GCP.

    Benefits

    We are proud to offer competitive compensation and benefits packages to include

    • Medical 
    • Dental
    • Vision
    • Basic Life 
    • Health Saving Account
    • 401K matching
    • Three weeks of PTO/Sick
    • 11 Paid Holidays
    • Pre-Approved Online Training