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Contract Senior Data Analyst Remote Jobs in Reston, VA

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and ... remote work arrangements * Collaborative, innovative team environment focused on exploration and ...

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and ... remote work arrangements * Collaborative, innovative team environment focused on exploration and ...

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and ... remote work arrangements * Collaborative, innovative team environment focused on exploration and ...

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and ... remote work arrangements * Collaborative, innovative team environment focused on exploration and ...

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and ... remote work arrangements * Collaborative, innovative team environment focused on exploration and ...

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and ... remote work arrangements * Collaborative, innovative team environment focused on exploration and ...

Ad Hoc

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that ... Strong analytical, troubleshooting, and problem-solving skills with the ability to make sound ...

Halvik

Data Analyst

Washington, DC · Remote

$75K - $90K/yr

Position OverviewWe are looking for a Data Analyst to join the BTS contract team at Halvik. Under ... the direction of Federal Data Administrators, assists in all activities related to the ...

Booz Allen Hamilton, Inc.

Data Analyst

Arlington, VA · On-site +1

Remote Work: Hybrid Job Number: R0247289 Location: Arlington,VA,US Share job via: Share Data ... as well as contract-specific affordability and organizational requirements. The projected ...

DarkStar Intelligence LLC

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Description DATA ANALYST Location: Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI ... Work Environment: Full-time support in the Washington, DC area with limited remote work based on ...

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All JobsContract Data Analyst JobsContract Senior Data Analyst Remote JobsContract Senior Data Analyst Remote Jobs in Reston, VA

Contract Senior Data Analyst Remote information

See Reston, VA salary details

$57.2K

$103.2K

$141K

How much do contract senior data analyst remote jobs pay per year?

As of Sep 14, 2026, the average yearly pay for contract senior data analyst remote in Reston, VA is $103,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $112,900.00 per year, depending on experience, location, and employer.

What does a contract senior data analyst do when working remotely?

A Contract Senior Data Analyst working remotely is responsible for analyzing complex data sets, generating insights, and delivering actionable recommendations to help organizations make data-driven decisions. They collaborate with stakeholders to understand business needs, design data models, and create reports or dashboards, often using tools like SQL, Python, or Tableau. As a contractor, they may work for a fixed term or on specific projects, focusing on meeting deliverables efficiently while communicating progress virtually. Remote work requires strong self-management and communication skills to ensure alignment with the team and project objectives.

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

To thrive as a Contract Senior Data Analyst (Remote), you need advanced analytical skills, a solid background in statistics, and a degree in a quantitative field such as mathematics, computer science, or economics. Proficiency in SQL, Python or R, data visualization tools like Tableau or Power BI, and experience with cloud platforms are typically required. Strong problem-solving, communication, and self-management skills are essential for collaborating across teams and delivering insights independently in a remote environment. These skills and qualities are crucial for transforming complex data into actionable business strategies while working autonomously.

What are some common challenges faced by contract senior data analysts working remotely, and how can they be addressed?

Contract Senior Data Analysts working remotely often face challenges related to communication, data access, and maintaining alignment with project goals. Since they may not be physically present with their teams, staying connected through regular virtual meetings and clear documentation is essential. Ensuring secure and timely access to data can also be complex, so collaborating closely with IT and data engineering teams helps resolve access issues. Proactively seeking feedback and clarifying expectations with stakeholders can further enhance productivity and project outcomes.

What is the difference between Contract Senior Data Analyst Remote vs Contract Data Analyst Remote?

AspectContract Senior Data Analyst RemoteContract Data Analyst Remote
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; 3+ years experience; proficiency in SQL, Python, or RBachelor's degree in relevant field; 1-3 years experience; proficiency in SQL and Excel
Work EnvironmentRemote, project-based, often client-facingRemote, project-based, often internal or client-facing
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareStartups, tech firms, finance, healthcare

The main difference between Contract Senior Data Analyst Remote and Contract Data Analyst Remote lies in experience level, skill requirements, and responsibilities. Senior roles typically demand more advanced skills and experience, often involving complex data projects and mentorship. Both roles are remote and industry-wide, but the senior position usually commands higher pay and expectations.

What are popular job titles related to Contract Senior Data Analyst Remote jobs in Reston, VA?

For Contract Senior Data Analyst Remote jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Contract Senior Data Analyst Remote jobs in Reston, VA look for?

The top searched job categories for Contract Senior Data Analyst Remote jobs in Reston, VA are:

What cities near Reston, VA are hiring for Contract Senior Data Analyst Remote jobs?

Cities near Reston, VA with the most Contract Senior Data Analyst Remote job openings:

Contract Senior Data Analyst Remote jobs near you
Infographic showing various Contract Senior Data Analyst Remote job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,235 per year, or $49.6 per hour.

Senior Data Scientist (AI)

Washington, DC • Remote

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

Contractor

Re-posted 3 days ago

Job description

Senior Data Scientist (AI) Washington, DC – onsite presence highly preferred Period of Performance: 6 months Per Federal contract U.S. Citizenship Required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance W-2 or C2C Application Deadline: 7/27/2026 The Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) is establishing an AI Lab to explore and implement generative AI and machine learning solutions that enhance staff productivity, improve analytical capabilities, and strengthen the Division's work in consumer protection and community development. We are looking for a full-stack Senior Data Scientist to support the AI Lab's research, development, and implementation of AI/ML solutions, with emphasis on generative AI applications. This role requires end-to-end ownership, from exploratory research and model development through application deployment and production maintenance. The ideal candidate is comfortable working across the full technology stack: building models, creating visualizations, developing applications, and deploying solutions to on-prem and/or cloud infrastructure. The AI Lab operates as a small, agile team where practitioners are expected to move between research, development, and deployment activities. This position will contribute to strategy while doing hands-on technical work, building models, training systems, evaluating performance, and deploying solutions. The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and coordinates with the Board's enterprise technology on infrastructure, governance, and compliance matters. Required Qualifications: • U.S. citizenship • At least six years of hands-on experience developing, deploying, and maintaining AI/ML applications within a large, professional, or academic organization • Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or related technology field (Master's degree preferred) • Expert proficiency in Python or R for data science development; experience with additional programming languages • Production deployment experience: Demonstrated ability to build, deploy, and maintain AI/ML applications in cloud environments, including containerization and basic CI/CD practices • Application development: Proficiency building interactive applications and dashboards using frameworks such as Streamlit, Dash, Flask, RShiny, or similar • Data visualization: Strong experience creating visualizations and dashboards using Python/R libraries, Tableau, Power BI, or similar tools to communicate technical concepts to non-technical audiences • AI/ML expertise: Advanced knowledge of machine learning, NLP (text normalization, Named Entity Recognition, POS tagging, word embeddings), and Generative AI technologies; experience with frameworks such as Scikit-learn, Spacy, XGBoost • Statistical analysis: Advanced knowledge of statistical modeling, data analysis techniques, and problem-solving skills • Ability to work independently and collaboratively, taking ownership of solutions from conception through production deployment Preferred Qualifications: • Prior experience in U.S. federal government, regulatory, supervisory, or policy environments • Experience with financial services data, consumer finance, banking supervision, or regulatory data • Experience working within agile frameworks (Scrum, Kanban) and project tracking tools (Jira, Azure DevOps) • Experience with LLM APIs (GPT, Llama, Nova) and frameworks (LangChain, LlamaIndex); knowledge of prompt engineering, fine-tuning, vector databases, and semantic search • Familiarity with AWS AI services (Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe) • Experience building production-grade web applications with advanced user interfaces; knowledge of data storytelling and visual design principles • Experience visualizing model performance metrics, feature importance, and model explainability outputs • Hands-on experience with AWS deployment services (EC2, ECS, Lambda, S3, CloudWatch), Databricks, and infrastructure as code (Terraform, CloudFormation) • AWS certifications (Solutions Architect, Machine Learning Specialty, or similar) • Familiarity with MLOps practices including model monitoring, versioning, automated retraining, and deployment pipelines • Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) • Familiarity with federal IT governance frameworks (FISMA, privacy requirements) and application security in regulated environments • Experience working with sensitive or regulated data Responsibilities: AI/ML and Generative AI Development: • Research, design, and develop machine learning and artificial intelligence solutions to support DCCA's mission, with emphasis on generative AI applications • Build and iterate on proof-of-concept AI solutions that demonstrate value for specific use cases, transitioning successful prototypes into production applications • Design and implement applications leveraging large language models for text analysis, summarization, information extraction, document classification, and workflow automation • Develop prompt engineering strategies and retrieval-augmented generation (RAG) systems to improve AI application performance • Experiment with fine-tuning, model customization, and evaluation techniques to optimize AI solutions for DCCA use cases • Evaluate emerging AI technologies, frameworks, and models to identify opportunities for adoption within DCCA workflows • Apply advanced statistical and machine learning techniques including supervised/unsupervised learning, classification, regression, and deep learning methods Deployment and Operations: • Build, deploy, and maintain AI/ML models and applications in cloud environments (AWS, Kubernetes, or internal analytics platforms), working collaboratively with AI Cloud Engineers when available or independently managing end-to-end deployment • Develop interactive dashboards and analytical applications using Python frameworks (Streamlit, Dash, Flask) or R Shiny; leverage AI-assisted development tools to rapidly prototype and iterate on data products • Create data visualizations and user interfaces using Python libraries (Plotly, Matplotlib, Seaborn), R (ggplot2), Tableau, Power BI, or similar tools that translate analytical outputs into intuitive, actionable insights for non-technical audiences • Manage deployment pipelines including containerization (Docker), CI/CD practices, and GenAI application deployments with API integrations, rate limits, and cost optimization • Implement monitoring, logging, alerting, and visual dashboards for model performance, data quality, and system health; establish automated retraining pipelines and model versioning strategies • Troubleshoot and maintain deployed applications, addressing performance issues, ensuring scalability, and updating applications as requirements evolve • Support governance requirements including documentation for security assessments, privacy reviews, and compliance obligations related to deployed systems Collaboration, Communication and Agile Practices: • Work within a light agile framework, participating in sprint planning, standups, and retrospectives to coordinate work with team members • Break down technical work into manageable tasks, estimate effort, track progress, and communicate status, blockers, and technical challenges to stakeholders • Work directly with DCCA program staff economists, analysts, attorneys, and senior leadership to understand business needs, identify AI/ML opportunities, and translate requirements into technical solutions • Communicate technical concepts effectively to both technical and non-technical audiences through presentations, reports, and executive summaries • Document technical work, including code, methodologies, and project outcomes to support knowledge sharing and project continuity • Contribute to building an AI/ML practice within DCCA, including documentation, capability development, and mentoring team members Governance and Compliance Awareness: • Work within federal IT governance frameworks including FISMA, privacy, and records management requirements as they apply to AI systems • Coordinate with the Board's security, privacy, and compliance functions on matters related to AI Lab systems and applications • Apply responsible AI practices including fairness evaluation, bias detection, model interpretability, and transparency in model development • Maintain awareness of AI ethics, accountability, and appropriate use considerations in federal regulatory contexts • Support preparation of documentation for system security plans, privacy impact assessments, and authority to operate processes when required Work Environment & Schedule: • Full-time contractor position • We prefer our contractors to be onsite to collaborate with the team, but we are fully equipped to support 100% remote work arrangements • Collaborative, innovative team environment focused on exploration and rapid prototyping • Small team structure requiring versatility and initiative Ref: #851-Rockville-S1 #M1 #LI-VH1

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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