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Weekend Remote Data & Analytics Jobs in Manassas, VA

Booz Allen Hamilton, Inc.

Data Analyst, Junior

Washington, DC · On-site +1

$48K - $98K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246709 Location: Washington,DC,US Share job via: Share Data Analyst, Junior The Opportunity: As an analytics professional, you love diving into data and turning it into ...

Parsons

Data Analyst - GEOINT Technical SME

Springfield, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

  • PTO

Provide consulting relating to the data mining and analysis of data from a range of sources to ... 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

  • PTO

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

IMSolutions, LLC

Data Analyst

Stafford, VA · Remote

Remote/Hybrid as authorized by the Government and Company as requested by the government. Position Summary The Data Analyst will support organizational and program objectives by collecting, analyzing ...

CPMC LLC

Data Analyst

Tysons Corner, VA · Remote

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Bachelor's degree in Data Analytics, Statistics, Information Systems, Business, or a related field.

Maximus

Data Scientist II (Remote)

VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... This role applies advanced analytics and research methods to help improve the short- and long-term ...

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Weekend Remote Data Analytics information

See Manassas, VA salary details

$24

$54

$94

How much do weekend remote data & analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for weekend remote data & analytics in Manassas, VA is $54.73, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a weekend remote data & analytics professional?

Yes, it is possible to find remote data and analytics roles that offer weekend or flexible schedules, especially in freelance or contract positions. These roles often require strong skills in data analysis, tools like SQL or Python, and the ability to work independently outside traditional business hours.

What are popular job titles related to Weekend Remote Data & Analytics jobs in Manassas, VA?

For Weekend Remote Data & Analytics jobs in Manassas, VA, the most frequently searched job titles are:

What job categories do people searching Weekend Remote Data & Analytics jobs in Manassas, VA look for?

The top searched job categories for Weekend Remote Data & Analytics jobs in Manassas, VA are:

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Weekend Remote Data Analytics jobs near you

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 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

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