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Remote Data Science Jobs in Silver Spring, MD (NOW HIRING)

... Remote-first culture with annual retreats Hiring Process 1. HR Screen (20 minutes) 2. Introductory conversation with the Deputy Director of Data Science (45 minutes) 3. Data Case - to be completed ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly ...

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245915 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Showing results 41-60

Remote Data Science information

See Silver Spring, MD salary details

$24K

$106.9K

$204K

How much do remote data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data science in Silver Spring, MD is $106,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,224.00 and $148,288.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Data Science jobs in Silver Spring, MD?

The most popular types of Data Science jobs in Silver Spring, MD are:

What are popular job titles related to Remote Data Science jobs in Silver Spring, MD?

For Remote Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Silver Spring, MD look for?

The top searched job categories for Remote Data Science jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Data Science jobs?

Cities near Silver Spring, MD with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,911 per year, or $51.4 per hour.

Mid/Senior Data Scientist

Fraym

Arlington, VA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Fraym
Fraym generates precise, localized data on demographics, attitudes, and behaviors, down to the town or village level. Organizations worldwide use our geospatial data to understand social and economic dynamics, design effective programs, and monitor investments across public health, economic development, climate resilience, security, and humanitarian response. Through survey research, geospatial analysis, and AI/ML, we are building scalable data infrastructure for mapping humanity.
Summary of Position
Fraym is seeking a mid-to-senior level Data Scientist to amplify our team’s NextGen R&D capabilities. Your contributions will support the mapping of demographic and behavioral patterns across some of the world’s most data-scarce regions. Your work will be split between highly complex, large experiments (75%) and technical mentorship (25%) responsibilities.
We are seeking candidates with a strong data science background and experience working in highly collaborative small teams. Preference will be given to applicants with experience in leveraging models to predict survey and/or geospatial data.:
Your responsibilities include the following:
  • Independently developing workflows and identifying new model applications for company-identified use-cases
  • Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations
  • Serving as a technical resource within the data teams across Fraym, including software engineer, project managers, and technical analysts who are responsible for deploying new and improved methods at scale
  • Collaborating with data science team leadership to determine, drive, and pivot the data science team within the context of our organizational mission

You will have the following qualifications and skills:
  • Master’s Degree or PhD in a related field
  • At least 5 years of working in a data science context, including technical mentorship in a data science, or adjacent, industry

Essential skills:
  • Experience applying and experimenting with a variety of AI models and LLMs in a professional context
  • Working in the nitty gritty of Machine Learning modeling, particularly in validation and interpretation
  • Communicating methodology to non-technical audiences
  • Cloud computing environment (AWS)

Nice to have:
  • Experience with GIS/geostatistics and/or complex survey design
  • Knowledge management experience
  • Experience working with or in the defense sector

Application Requirements
  • Your resume
  • A short statement asking why you are interested in Fraym and this position
  • A work sample - Since we do not have a technical interview to evaluate code that you have produced, we would like to see your past work. A link to your Github or personal portfolio/website are acceptable.

Location
Fully remote within the USA, with travel once or twice a year for retreats and conferences.
Compensation & Benefits
Salary range: 119,000 - 160,000 USD; actual salary is commensurate with experience, and fit.
·           Annual performance bonus
·           Comprehensive medical, dental, and vision insurance (US)
·           401(k) program (US), flexible PTO, professional development opportunities
·           Remote-first culture with annual retreats
Hiring Process
1.         HR Screen (20 minutes)
2.         Introductory conversation with the Deputy Director of Data Science (45 minutes)
3.         Data Case – to be completed the week of final interview and presented to the team in Step 4. (1-2 hours)
4.         Data Case presentation & discussion with the Data Science team (60 minutes)
5.         Reference checks and offer
We prioritize diverse backgrounds and growth mindsets at Fraym. If you are curious about learning more or think you could be a good fit for our team and company mission, we would love to hear from you.
Fraym recruits, employs, trains, compensates and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.
Interested? Please submit your application with a resume, a link to your work portfolio demonstrating your technical skill, and short statement answering “Why Fraym.”
 


Not sure you tick all the boxes? We encourage you to apply. We have a learning culture, and if this job description sounds exciting, we’d love to hear from you.


Fraym recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.

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