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Remote Senior Data Scientist Jobs in Virginia (NOW HIRING)

Parsons

Senior Data Scientist

Springfield, VA · Remote

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

What Impact You'll Have GRVTY is hiring a Senior Data Scientist to support an IC program developing ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

What Impact You'll Have GRVTY is hiring a Senior Data Scientist to support an IC program developing ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist ... You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... Experience presenting data products to DoW senior leadership * Secret clearance * Bachelor's degree ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... Experience presenting data products to DoW senior leadership * Secret clearance * Bachelor's degree ...

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Remote Senior Data Scientist information

What is a remote senior data scientist?

A Remote Senior Data Scientist is an experienced professional who analyzes and interprets complex data to help organizations make data-driven decisions, while working from a location outside the traditional office setting. They typically lead projects, design data models, and develop machine learning algorithms, often collaborating with cross-functional teams virtually. Their role requires advanced statistical, programming, and communication skills, as well as the ability to work independently and manage tasks remotely. Senior Data Scientists also mentor junior team members and contribute to strategic decision-making.

What are the key skills and qualifications needed to thrive as a remote senior data scientist?

To thrive as a Remote Senior Data Scientist, you need advanced expertise in statistics, machine learning, programming (Python, R), and a strong background in mathematics or related fields, usually supported by a master's or PhD. Experience with tools like TensorFlow, PyTorch, SQL, cloud platforms (AWS, GCP), and relevant data science certifications is highly valuable. Exceptional problem-solving, communication, and self-management skills help you stand out, especially when collaborating remotely with cross-functional teams. These skills ensure you can independently drive impactful data-driven solutions and effectively communicate insights in a distributed work environment.

How do remote senior data scientists typically collaborate with cross-functional teams to deliver impactful results?

Remote Senior Data Scientists frequently collaborate with cross-functional teams by leveraging digital communication tools such as Slack, Zoom, and shared project management platforms. They work closely with product managers, engineers, and business analysts to define project goals, share data insights, and iterate on models. Regular virtual meetings, clear documentation, and asynchronous updates are key to ensuring alignment and effective teamwork. This collaborative approach helps bridge the gap between data-driven insights and business objectives, making the role both challenging and rewarding.

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

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

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Remote Senior Data Scientist jobs near you
Infographic showing various Remote Senior Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist

Prometheus Federal Services

Fairfax, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Position Summary
Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are seeking a Senior Data Scientist to support Department of Veterans Affairs (VA) programs through advanced analytics, predictive modeling, data science, and AI-enabled solutions. This role will focus on transforming complex VA data assets into actionable insights that support operational decision-making, healthcare outcomes, data modernization initiatives, and enterprise reporting.
The Senior Data Scientist will collaborate with business stakeholders, data engineers, analysts, and program leadership to design, develop, and operationalize advanced analytical solutions. The ideal candidate brings deep expertise in statistical analysis, machine learning, data engineering concepts, and healthcare analytics, along with experience working within complex federal data environments.
Essential Functions & Responsibilities
Data Science, Advanced Analytics & AI/ML
  • Develop and implement advanced analytical models to identify trends, patterns, risks, and opportunities within large and complex datasets.
  • Design, build, and deploy machine learning models to support predictive and prescriptive decision-making.
  • Apply statistical techniques and data science methodologies to solve complex business and operational challenges.
  • Develop forecasting, classification, clustering, anomaly detection, and optimization models to support program objectives.
  • Support AI-enabled analytical solutions that improve operational insight, performance measurement, and resource planning.
  • Evaluate emerging AI, machine learning, and advanced analytics technologies for applicability within VA environments.
  • Develop model monitoring and evaluation frameworks to ensure accuracy, stability, explainability, and performance.

Data Exploration, Preparation & Feature Engineering
  • Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and key business drivers.
  • Perform data profiling and quality assessments to identify issues impacting analytical outcomes.
  • Develop feature engineering strategies to improve model performance and business relevance.
  • Prepare and transform structured and semi-structured datasets for advanced analytical applications.
  • Collaborate with data engineering teams to establish scalable analytical datasets and model-ready data pipelines.

Data Integration, Engineering & Architecture Collaboration
  • Partner with data engineers and architects to integrate data across diverse VA systems, databases, APIs, and enterprise platforms.
  • Support the design and optimization of data pipelines and analytical workflows.
  • Contribute to data modeling efforts that improve accessibility, scalability, and performance of analytical solutions.
  • Assist in developing reusable analytical frameworks and data science assets across programs.
  • Ensure analytical solutions align with data governance, security, and compliance requirements.

Business Partnership, Strategy & Communication
  • Translate business questions, policy objectives, and operational needs into analytical approaches and measurable outcomes.
  • Present analytical findings, model outputs, and recommendations to technical and non-technical stakeholders.
  • Develop executive-level briefings, data visualizations, and decision-support materials.
  • Partner with program leadership to identify opportunities to transition from descriptive reporting to predictive and prescriptive analytics.
  • Communicate model assumptions, limitations, and risks to stakeholders in a clear and understandable manner.

Governance, Documentation & Continuous Improvement
  • Develop and maintain documentation for analytical methods, models, data sources, assumptions, and validation procedures.
  • Support analytical governance and best practices related to model lifecycle management and reproducibility.
  • Participate in peer reviews and quality assurance activities for analytical products.
  • Continuously evaluate new methodologies and technologies to improve analytical capabilities and program outcomes.
  • Mentor junior data scientists, analysts, and technical team members.
Minimum Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Engineering, Healthcare Informatics, or a related field.
  • 7-10 years of experience in data science, advanced analytics, machine learning, or related technical roles.
  • Strong proficiency in Python for data science and machine learning applications (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar).
  • Advanced knowledge of statistical methods, predictive modeling, and machine learning techniques.
  • Strong proficiency in SQL for data extraction, transformation, and analysis.
  • Experience developing and validating machine learning models, including classification, regression, clustering, forecasting, and anomaly detection.
  • Experience conducting exploratory data analysis and communicating insights to diverse audiences.
  • Familiarity with model evaluation techniques, performance metrics, and validation methodologies.
  • Experience working with large-scale structured and semi-structured datasets.
  • Understanding of data engineering concepts, including ETL/ELT processes, data pipelines, and cloud-based data platforms.
  • Strong problem-solving, critical thinking, and analytical skills.
  • Excellent written and verbal communication skills.
  • Authorized to work in the U.S. indefinitely without sponsorship.
  • Ability to obtain a Public Trust clearance.
Preferred Qualifications
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Engineering, Healthcare Informatics, or a related discipline.
  • Experience supporting the Department of Veterans Affairs (VA), Veterans Health Administration (VHA), or other federal healthcare agencies.
  • Experience working with healthcare, clinical, claims, operational, or population health datasets.
  • Experience with cloud-based analytics platforms such as Azure Synapse, Azure Machine Learning, Databricks, AWS, or comparable environments.
  • Familiarity with Power BI, Tableau, or other business intelligence and visualization platforms.
  • Experience supporting enterprise data modernization, governance, or digital transformation initiatives.
  • Experience developing explainable AI (XAI) and responsible AI solutions in regulated environments.
  • Experience mentoring and leading technical teams or analytical workstreams.

Compensation & Benefits
PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; a retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.
The posted salary range is the company's good-faith estimate for this role. PFS benefits and compensation are determined by various factors, including, but not limited to, location; the individual's particular combination of education, knowledge, skills, competencies, and experience; as well as contract and organizational requirements.
Salary Range: $100,000 - $140,000
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.
Accommodations
PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at recruiting@pfs.us. Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.
Workplace Health, Safety, and Compliance
This position may be subject to client-specific or government-mandated vaccination, health, or safety requirements, which may change over time.
Texting Privacy Policy and Information:
  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • Opt out at any time by texting "stop".

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