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Remote Data Modeler Jobs in Virginia (NOW HIRING)

Data Scientist

Mclean, VA · Remote

$142K - $228K/yr

This role also prepares the scoring approach and model architecture for future interpretable ML ... This position is fully remote however travel in the DMV area will be expected. Responsibilities

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... Apply and promote Power BI best practices related to: -Data modeling and DAX -Performance ...

Data Scientist

Stafford, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0240206 Location: Stafford,VA,US Share job via: Share Data Scientist ... Knowledge of developing predictive data models, quantitative analyses, and visualization of ...

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241528 Location: Alexandria,VA,US Share job via: Share Data ... Experience developing predictive data models, quantitative analyses, or visualization of targeted ...

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Data and Analytics Engineer

Blacksburg, VA · Remote

$117K - $140K/yr

Blacksburg, Virginia, Fully Remote, Hybrid Categories: Information Systems / Technology The Data ... Experience with data modeling, data quality management, metadata management, data governance, and ...

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Ability to develop predictive data models, quantitative analyses, and visualization of targeted ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer ... Experience with data modeling principles and data quality concepts * Ability to work with little or ...

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Data Modeling and Optimization: * Design and implement data models to support analytical and ...

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... Manage source-to-target data mapping between different data models. * Assist in planning, designing ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Showing results 41-60

Remote Data Modeler information

What skills and qualifications are needed to thrive as a remote data modeler?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a remote data modeler do?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a remote data modeler?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Virginia?

The most popular types of Data Modeler jobs in Virginia are:

What are popular job titles related to Remote Data Modeler jobs in Virginia?

For Remote Data Modeler jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Modeler jobs in Virginia look for?

The top searched job categories for Remote Data Modeler jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Modeler jobs?

Cities in Virginia with the most Remote Data Modeler job openings:

Infographic showing various Remote Data Modeler job openings in Virginia as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% Remote job distribution.

Data Scientist

Bigbear.ai

Mclean, VA • Remote

$142K - $228K/yr

Full-time

Posted 4 days ago


Job description

Overview

The Data Scientist designs and builds the v1 rule-weighted composite scoring logic that turns normalized risk signals into a transparent, defensible score. This role also prepares the scoring approach and model architecture for future interpretable ML-based scoring—ensuring explainability is preserved for adjudicator-facing workflows and audit needs. The ideal candidate blends practical applied data science with strong judgment around interpretability, traceability, and operational usability.

This position is fully remote however travel in the DMV area will be expected.


Responsibilities

  • Build and tune v1 rule-weighted composite scoring logic using normalized inputs from the common risk-signal schema.
  • Define scoring framework components (feature groupings, weights, thresholds, guardrails, and handling of missing/partial data).
  • Create interpretable explanations for scores and drivers suitable for adjudicator review (reason codes, key contributing signals, and traceable logic).
  • Design the scoring architecture to support evolution from rules/weights to interpretable ML models while maintaining auditability.
  • Prototype and evaluate interpretable model classes and explanation methods (e.g., SHAP-based explanations, constrained/monotonic models where appropriate, and rule-based hybrids).
  • Partner with data engineering and application teams to productionize scoring logic (data inputs, contracts, output formats, and performance expectations).
  • Establish validation and monitoring approaches (basic model/score QA, drift indicators, and score distribution checks).
  • Document scoring methodology, assumptions, and limitations for stakeholder understanding and accreditation/compliance artifacts as needed.

Qualifications

  • Clearance: Must maintain an active TS/SCI security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience; PhD and 3 to 5 years of experience (in lieu of Bachelor’s degree, 6 additional years of relevant experience)
  • 3–5 years of applied data science experience delivering scoring, ranking, or decision-support models.
  • Experience implementing interpretable approaches (rule-based systems, transparent composite scores, and/or explainability methods such as SHAP).
  • Strong Python skills, including scikit-learn and common data science workflows.
  • Hands-on experience with SQL for data analysis, feature development, and validation.
  • Ability to communicate scoring logic clearly to technical and non-technical stakeholders (including explaining tradeoffs between accuracy and interpretability).
  • Familiarity with adjudicative, compliance, fraud/risk, or other risk-scoring domains (preferred/bonus).
  • IC/DoD experience