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Remote Construction Data Analytics Jobs in Reston, VA

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.

New

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 ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

A-TEK Inc.

Health IT Data Analyst I

Alexandria, VA · Remote

$70K - $75K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

Parsons

Senior Data Scientist

Springfield, VA · Remote

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 ...

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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 Aug 16, 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 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 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 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 Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 25 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

91st of 171 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Science Leader at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics

    • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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