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Remote Predictive Modeling Jobs in Ashburn, VA (NOW HIRING)

SAIC

GEOINT SIGINT Data Scientist

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a GEOINT SIGINT Data ... predictive modeling across GEOINT and SIGINT mission threads. * Documents internal process ...

New

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

SAIC

Management Volume SME & Strategist

Reston, VA · On-site +1

$200K - $240K/yr

Secret Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a visionary Management ... Engineer risk management frameworks with quantitative analysis, predictive modeling, and automated ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... predictive modeling). Use Python or lightweight scripting only as needed for function calls ...

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Sustain existing WUC predictive failure models * Support selection and analysis of new WUC ...

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Remote Predictive Modeling information

See Ashburn, VA salary details

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How much do remote predictive modeling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote predictive modeling in Ashburn, VA is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $70.82 per hour, depending on experience, location, and employer.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are popular job titles related to Remote Predictive Modeling jobs in Ashburn, VA?

For Remote Predictive Modeling jobs in Ashburn, VA, the most frequently searched job titles are:

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Remote Predictive Modeling jobs near you

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 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