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Remote Python Data Analysis Jobs in Columbia, MD

Econometrica

Senior SAS/Python Programmer

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... data science, data analytics, statistics, economic analyses, and program implementation and ...

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Python, SQL, Power BI, Power Apps, and SharePoint) to improve analytic efficiency and expand the ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of ...

SOSi

Data Scientist II

Washington, DC · On-site +1

Python or R, as well as a wide range of data analysis, data processing, statistical modeling, Al/ML ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

Eastport Analytics, Inc

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

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 Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful ...

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

As of Sep 10, 2026, the average hourly pay for remote python data analysis in Columbia, MD is $58.18, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.06 per hour, depending on experience, location, and employer.

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Senior Data Scientist (NLP and Unstructured Data Analytics)

Washington, DC • On-site, Remote

Node.Digital
Software Development • 11 - 50 employees
Learn more about Node.Digitalexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 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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