2

Remote Data Scientist Jobs in Reston, VA (NOW HIRING)

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Data Scientist

Washington, DC · On-site +1

$121.79K - $158.32K/yr

The incumbent collaborates with cross-functional teams, composed of professionals skilled in data science, performance management, risk management, policy analysis, financial management, information ...

We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT. The Tactical Surveillance, Reconnaissance, and Tracking (TacSRT) program leverages commercial ...

We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT. The Tactical Surveillance, Reconnaissance, and Tracking (TacSRT) program leverages commercial ...

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

Use excellent data science practices to iteratively produce high performing models * Create immediate impact through sound and practical deliveries of risk monitors * Work with engineering colleagues ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing large structured and unstructured datasets who will use their technical expertise, mission knowledge ...

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing large structured and unstructured datasets who will use their technical expertise, mission knowledge ...

next page

Showing results 1-20

Remote Data Scientist information

See Reston, VA salary details

$39.1K

$127.9K

$204.8K

How much do remote data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data scientist in Reston, VA is $127,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,700.00 per year, depending on experience, location, and employer.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Reston, VA? The most popular types of Data Scientist jobs in Reston, VA are:
What are popular job titles related to Remote Data Scientist jobs in Reston, VA? For Remote Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Remote Data Scientist jobs? Cities near Reston, VA with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Reston, VA as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 75% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $127,927 per year, or $61.5 per hour.
Senior Data Scientist

Senior Data Scientist

Parsons

Springfield, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Parsons rating

7.9

Company rating: 7.9 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

154th of 349 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis-from refining business requirements and developing sophisticated analytical models toprovidestrategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technicalexpertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.

What You'll Be Doing:

  • Advanced Analytics and Model Development:Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.

  • Strategic Business Analysis:Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.

  • Process Improvement and Policy Operations:Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.

  • Risk and Performance Analytics:Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.

  • Stakeholder Engagement and Communication:Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.

  • Data Governance and Integrity:Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

What Required Skills You'll Bring:

  • Education: A minimum of a Master's Degree in Data Science, Statistics, Business, or a related field.7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience

  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.

  • Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions.

  • Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations.

  • Mastery of data visualization and dashboard development using data sets from various sources.

    Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.

  • Excellent verbal and written communication skills, with experience providing technical and editorial guidance.

  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.

  • Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities.

  • Proficiency in creating and editing visual content such as charts and graphs to represent data.

  • At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker

  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.

  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

  • Must have a current/active TS/SCI clearance or higher.

Security Clearance Requirement:

An active Top Secret SCI security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.


What Parsons employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom