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Remote Python Data Analysis Jobs in Sterling, VA

Parsons

Senior Data Scientist

Springfield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Virtualitics, Inc

Data Scientist

Washington, DC · On-site +1

Data Scientist TS/SCI (DC/NoVA) Virtualitics introduced Intelligent Exploration to the analytics ... Degree in Computer Science. * 3+ years of experience writing production ready code in Python. * 3+ ...

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In this role, you will develop and automate Python scripts for data collection, cleaning, and ... Build and implement machine learning models and/or predictive analytics. * Maintenance of ...

CPMC LLC

Data Analyst

Tysons Corner, VA · Remote

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Python or R for adhoc statistical analysis. * Prior experience supporting an HHS/ORR, ACF, or ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241352 Location: Washington,DC,US Share job via: Share Data Scientist ... Experience analyzing structured and unstructured data sources * Experience developing predictive ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Python skills to transform both structured and unstructured data into clear and concise analytic ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Python skills to transform both structured and unstructured data into clear and concise analytic ...

The Rehancement Group

GSA Data Analyst 1

Fairfax, VA · Remote

$65K/yr

This position is telework/remote, full-time: 8 hours per day/ Monday-Friday (40hr/week). GSA Laptop ... Perform routine and ad hoc data analysis using multiple data sources and systems, including data ...

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All JobsPython Data Analysis JobsRemote Python Data Analysis JobsRemote Python Data Analysis Jobs in Sterling, VA

Remote Python Data Analysis information

See Sterling, VA salary details

$13

$58

$85

How much do remote python data analysis jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote python data analysis in Sterling, VA is $58.06, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.96 per hour, depending on experience, location, and employer.

What job categories do people searching Remote Python Data Analysis jobs in Sterling, VA look for?

The top searched job categories for Remote Python Data Analysis jobs in Sterling, VA are:

What cities near Sterling, VA are hiring for Remote Python Data Analysis jobs?

Cities near Sterling, VA with the most Remote Python Data Analysis job openings:

Remote Python Data Analysis jobs near you
Infographic showing various Remote Python Data Analysis job openings in Sterling, VA as of August 2026, with employment types broken down into 45% Full Time, 11% Part Time, 11% Temporary, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,756 per year, or $58.1 per hour.

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Required

Education\t

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.\t

  • 5+ years\tDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.\t
  • 5+ years\tDeveloping analytic rules and models using leading edge analytic tools and best practices.\t
  • 5+ years\tDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.\t
  • 3+ years\tProviding data support for criminal investigations into financial fraud or abuse of government funds.\t
  • 3+ years\tManipulating data in Python. Pandas is required.\t
  • 3+ years\tWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.\t
  • 2+ years\tConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.\t
  • 2+ years\tDeveloping and scaling natural language processing solutions.\t
  • 2+ years\tPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.\t

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.

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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