ZipRecruiter

Log In

2

Remote Construction Data Analytics Jobs in Reston, VA

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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

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 ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Experience constructing and performing evaluations of analytics including test data construction ...

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.

2ndWave LLC

Data Analyst I

Washington, DC · Remote

$100K - $125K/yr

Bachelor's degree in Data Analytics, Statistics, Economics, Business, Computer Science, or a ... Telework or remote work may be authorized as appropriate. Standard support hours are Monday through ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

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 ...

previous page

Showing results 41-60

All JobsConstruction Data Analytics JobsRemote Construction Data Analytics JobsRemote Construction Data Analytics Jobs in Reston, VA

Remote Construction Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do remote construction data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote construction data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

What is remote construction data analytics?

Remote construction data analytics involves collecting, processing, and analyzing data from construction projects without being physically present on-site. Professionals in this field use digital tools and software to monitor project progress, track equipment and materials, and identify trends or issues from a distance. This approach helps optimize decision-making, improve project efficiency, and reduce costs by leveraging real-time data and insights. Remote analytics are increasingly important as construction companies adopt more technology-driven methods.

What are the key skills and qualifications needed to thrive as a remote construction data analytics professional?

To thrive as a Remote Construction Data Analytics professional, you need a strong background in data analysis, construction management principles, and a relevant degree such as construction engineering, data science, or a related field. Familiarity with analytics tools like Power BI, Tableau, SQL, and construction management systems such as Procore or Autodesk BIM 360 is typically required. Excellent communication, problem-solving, and attention to detail are soft skills that help translate complex data insights to project stakeholders. These skills ensure accurate, actionable analytics that drive efficiency, cost savings, and informed decision-making in construction projects.

What are some common challenges faced by professionals in remote construction data analytics, and how can they be addressed?

Professionals in remote construction data analytics often encounter challenges such as data inconsistency from multiple sources, limited real-time access to on-site information, and effective communication with field teams. To address these, it's important to establish standardized data collection protocols, leverage cloud-based tools for real-time data sharing, and maintain regular virtual meetings with project stakeholders. Building strong relationships with both technical and construction teams also helps ensure that analytics insights are actionable and relevant to on-site operations.

What is the difference between Remote Construction Data Analytics vs Remote Construction Project Coordinator?

AspectRemote Construction Data AnalyticsRemote Construction Project Coordinator
Required CredentialsData analysis certifications, technical skills in analytics toolsProject management certifications, communication skills
Work EnvironmentData-focused, analytical tasks, software toolsCoordination, communication, scheduling
Industry UsageAnalyzing construction data, improving efficiencyManaging project timelines, liaising with teams

Remote Construction Data Analytics focuses on analyzing construction data to optimize processes, requiring technical and analytical skills. In contrast, Remote Construction Project Coordinators handle project schedules and team communication. Both roles are essential in construction but differ in daily tasks and skill sets.

What are popular job titles related to Remote Construction Data Analytics jobs in Reston, VA?

For Remote Construction Data Analytics jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Construction Data Analytics jobs in Reston, VA look for?

The top searched job categories for Remote Construction Data Analytics jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Construction Data Analytics jobs?

Cities near Reston, VA with the most Remote Construction Data Analytics job openings:

Remote Construction Data Analytics jobs near you
Infographic showing various Remote Construction Data Analytics job openings in Reston, VA as of July 2026, with employment types broken down into 5% Internship, 86% Full Time, 7% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,469 per year, or $57 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

Re-posted 8 days ago

Key responsibilities

  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi-structured text.

  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non-compliance within SBA programs.

  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.

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+ years Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ years Developing analytic rules and models using leading edge analytic tools and best practices.
  • 5+ years Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ years Providing data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ years Manipulating data in Python. Pandas is required.
  • 3+ years Working in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ years Conducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ years Developing and scaling natural language processing solutions.
  • 2+ years Presenting 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

Apply