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Remote Data Science Jobs in Leesburg, VA (NOW HIRING)

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 our team to provide support specializing in natural language(NLP) processing and associated data ...

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 our team to provide Subject Matter expertise and support specializing in natural language(NLP ...

SOSi

Data Scientist II

Chantilly, VA · On-site +1

The Data Scientist will provide data analysis services, including data graphics and dashboards, to ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

SOSi

Data Scientist II

Chantilly, VA · On-site +1

The Data Scientist will provide data analysis services, including data graphics and dashboards, to ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

Team Velocity

Senior Data Engineer

VA · Remote

$140K/yr

Experience supporting Business Intelligence, Data Science, and AI initiatives. * Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245790 Location: McLean,VA,US Share job via: Share Data Scientist, Mid The Opportunity: The Data and AI team sits within Booz Allen's CIO organization. We are ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

... data science, or similar role within a complex business environment. * Experience with DevOps tools / modern cloud stack and practices Physical Requirements * Onsite or remote: 60% onsite * Vision:

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Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Leesburg, VA?

The most popular types of Data Science jobs in Leesburg, VA are:

What are popular job titles related to Remote Data Science jobs in Leesburg, VA?

For Remote Data Science jobs in Leesburg, VA, the most frequently searched job titles are:

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The top searched job categories for Remote Data Science jobs in Leesburg, VA are:

What cities near Leesburg, VA are hiring for Remote Data Science jobs?

Cities near Leesburg, VA with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Leesburg, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Scientist - Databricks Genie & AI Analytics

Dev Technology

Ashburn, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago

Job description

Senior Data Scientist - Databricks Genie & AI Analytics #1087
Clearance: U.S. Citizenship is required.Current CBP/DHS clearance highly preferred.
High-Level Project Summary: Dev Technology is seeking a highly skilled Data Scientist with hands-on experience in the Databricks Data Intelligence Platform, including Databricks Genie, to help transform how business and technical users interact with enterprise data. This role will develop AI-powered analytics solutions that enable users to query data using natural language, generate insights from complex datasets, and accelerate decision-making across the organization. The ideal candidate combines strong data science and machine learning expertise with advanced knowledge of Databricks, data engineering concepts, semantic modeling, and generative AI applications.
What You'll Be Doing: You will be part of a mission-focused delivery team that encompasses application development and analytics work, and helping to drive innovation to solve agency mission concerns.
  • Design, develop, and deploy advanced analytics and machine learning solutions using Databricks
  • Configure and optimize Databricks Genie spaces to enable natural language access to enterprise data
  • Develop semantic models, business metadata, and governance processes that improve the accuracy of Genie-generated responses
  • Develop and maintain notebooks, workflows, dashboards, and data pipelines within Databricks
  • Collaborate with data engineers to ensure high-quality, governed datasets are available for Genie and AI applications
  • Support development of retrieval-augmented generation (RAG), LLM, and AI-agent use cases leveraging Databricks capabilities

Required Education, Experience, and Skills:
  • Bachelor's degree and ten years of working experience in the information technology field
  • 5+ years of experience in data science, machine learning, advanced analytics, or AI/ML engineering
  • 2+ years of hands-on experience with Databricks
  • Experience configuring and administering Databricks Genie
  • Strong expertise in Python, SQL, PySpark
  • Experience developing semantic layers, data models, and business-friendly metadata structures
  • Experience working with structured and unstructured datasets
  • Strong understanding of data governance, data quality, and metadata management
  • Experience with cloud platforms such as Azure, AWS, or GCP
  • Ability to communicate complex analytical concepts to non-technical stakeholders

Preferred Education, Experience, and Skills:
  • Databricks certification
  • Experience supporting federal agencies

Who We Are
Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client's missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:
  • Generous and flexible time-off policy
  • Flexible work schedules and telework options, including remote work availability for eligible projects
  • Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
  • Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
  • 401K matching with a 5% matching contribution
  • Regular team and company social events including our annual party, happy hours, fitness challenges, and more
  • A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
  • To learn more about working at Dev Technology, visit Working At Dev Technology Group

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.

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