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Weekend Data Science R Jobs in Fairfax, VA (NOW HIRING)

Analytic Services Inc

Data Scientist

Washington, DC · On-site

Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions. * Proficiency in Python, R, and SQL, and experience with data ...

VTG

Data Scientist

Mclean, VA

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

Analytic Services Inc

Data Scientist

Washington, DC · On-site

Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions. * Proficiency in Python, R, and SQL, and experience with data ...

Bigbear.ai

Data Scientist, Lead

Washington, DC · On-site

$85K - $201K/yr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Bigbear.ai

Data Scientist, Lead

Washington, DC · On-site

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

BigBear.ai

Data Scientist, Lead

Washington, DC · On-site

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

Required : • 5+ years of experience using data science programming languages, such as Python or R • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

IC-CAP LLC

Data Scientist IV TALO094

Herndon, VA · On-site

... or R. * Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills. * Knowledge of various data science applications and ...

Planet Technologies

Data Scientist

Washington, DC

Incorporates data science tools (SQL, R, Python, etc.) into services. Qualifications: * Strong proficiency with Power Platform, SharePoint, and InfoPath required. * Excellent understanding of machine ...

Bigbear.ai

Sr. Data Scientist

Washington, DC · On-site

$103K - $240K/yr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

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Weekend Data Science R information

See Fairfax, VA salary details

$38.3K

$125.5K

$200.9K

How much do weekend data science r jobs pay per year?

As of Jul 11, 2026, the average yearly pay for weekend data science r in Fairfax, VA is $125,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R, and why are they important?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.
Weekend Data Science R jobs near you

Data Scientist

Analytic Services Inc

Washington, DC • On-site

Full-time

Medical, Life

This job post has expired today. Applications are no longer accepted.

Job description

Company Overview:
ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.
Position Summary
ANSER is seeking a Data Scientist to advance analytic efficiency and predictive capabilities across the Object-Based Intelligence (OBI) enterprise. You will leverage data science, machine learning, and statistical techniques to analyze, model, and visualize complex multi-INT datasets, delivering actionable insights that support OBI analytic production and decision-making.
Day-to-Day Responsibilities
  • Design, develop, and evaluate advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI) through all-source analytic tradecraft, assessments, production, and dissemination.
  • Propose and apply advanced statistical, mathematical, and experimental methodologies to identify alternatives, formulate models, and develop innovative analytic techniques.
  • Research, prototype, and evaluate technologies that augment or automate all-source analytic processes using computer models and advanced analytics.
  • Leverage novel technologies (e.g., large language models, NLP, machine learning) to automate and enhance ontologies, entity recognition, extraction, and summarization in accordance with analytic tradecraft standards.
  • Develop, refine, and optimize semantic data retrieval and reasoning across knowledge graphs using query languages and protocols (e.g., SPARQL, GraphQL, SHACL, SQL).
  • Evaluate data science, AI, and analytic methods for bias, risk, limitations, and potential distortion of analytic conclusions, and support responsible AI practices.
  • Execute Test, Evaluation, Verification, and Validation (TEVV) protocols to assess system performance, robustness, fairness, and tradecraft compliance in all-source analysis contexts.
  • Develop, track, analyze, and interpret qualitative and quantitative performance metrics to identify trends, gaps, and opportunities for system improvement.
  • Collaborate with stakeholders to implement data-driven decision-making processes and best practices for system development, testing, deployment, and continuous improvement.
  • Develop and refine methodologies for evaluating analytic systems, including validation, reasoning completeness, coverage, consistency, and fairness.
  • Use data engineering, mining, exploratory, predictive, statistical, and scientific techniques to correlate data and produce graphical, written, visual, and verbal analytic products.
  • Write and maintain Python or R scripts, use SQL, manage and merge disparate data sources, and develop scalable workflows for large, spatial, and multi-INT datasets.
  • Create and operate in distributed analytic environments, scaling algorithms to handle datasets exceeding system memory constraints.
  • Work with ambiguous and complex information by deconstructing key questions, exploiting APIs and spatial data, suggesting methodologies, and developing data schemas.
  • Provide consultation, governance guidance, documentation review, audit findings, and version-controlled code contributions to advance OBI standards, knowledge modeling, and DIA analytic capabilities.

Required Qualifications
  • TS/SCI with CI Poly clearance eligibility
  • Bachelor's degree in in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
  • Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions.
  • Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
  • Demonstrated understanding of Object Based Intelligence frameworks.
  • Demonstrated experience with predictive modeling, data mining, statistical analysis, and ML algorithms.
  • Familiarity with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
  • Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.
  • Experience with large data multi-INT analytics, machine learning (ML), and automated predictive analytics
  • Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.

Preferred Qualifications
  • Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
  • Knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
  • Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.
  • Knowledge of DoD 8570/8140 compliance and responsible AI policy frameworks.
  • Working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).
  • Developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI.

Individual salaries are determined by a variety of factors including but not limited to: business considerations, local market, internal equity, candidate qualifications such as skills, education and experience. ANSER provides employees benefits to support all aspects of their life including health, financial and well-being. For more information, please visit: http://www.anser.org
Full Time Salary Range for this position for this position:
$140,000-$178,000 USD
In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail Recruiting@anser.org
ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, veteran status, sexual orientation, or any other characteristic protected by law.

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