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

Data Scientist

Suitland, MD · On-site +1

$143K - $187K/yr

Lead advanced data science research by developing and applying analytical models, computational methods, and data systems to generate insights and support agency programs. * Lead organizational data ...

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

Washington, DC · On-site +1

$141K - $236K/yr

You will translate raw data into actionable insights, focusing on data science solutions for the ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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 ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

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 ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Stay current with emerging data science technologies and best practices. Minimum Qualifications

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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 Jul 10, 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 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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 July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $106,911 per year, or $51.4 per hour.
Data Scientist

Data Scientist

U.S. Census Bureau

Suitland, MD • On-site, Remote

$143K - $187K/yr

Full-time

Re-posted 4 days ago


U.S. Census Bureau rating

6.7

Company rating: 6.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

551st of 675 rated public administrative organizations


Job description

Summary
This vacancy is being filled via the Direct-Hire Authority (DHA) for a Data Scientist position in the Associate Director for Decennial Census Programs located at the U.S. Census Bureau Headquarters in Suitland, Maryland.
This Job Opportunity Announcement may be used to fill other Data Scientist, 1560-14, FPL GS-14 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.
Learn more about this agency
Duties
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  • Lead the planning, development, and implementation of innovative data science applications and tools that use diverse data sources and advanced analytics to generate insights and improve organizational processes.
  • Evaluate and assess emerging data and technology solutions to determine their effectiveness, identify limitations, and provide recommendations for implementing new technologies and solutions.
  • Lead advanced data science research by developing and applying analytical models, computational methods, and data systems to generate insights and support agency programs.
  • Lead organizational data science transformation by advancing innovative analytical capabilities, modernizing data systems and tools, and guiding the adoption of emerging data science practices across the enterprise.

Requirements
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Conditions of employment
  • Applicants must meet all qualification requirements by the closing date of this announcement.
  • U.S. Citizen.
  • Suitable for Federal employment.
  • Registered for Selective Service, if applicable (www.sss.gov).
  • A one-year probationary period may be required.
  • This is a BARGAINING unit position.
  • This announcement will close at 11:59 p.m. Eastern Time on the date the first 150 applicants are received or on July 20, 2026, whichever comes first.
  • A USA Hire assessment is required. An email will be sent with additional information after you submit your application. You will have 48 hours from the date you submit your application to complete the assessment.

Qualifications
Basic Requirements:
  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

OR
  1. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

AND
MINIMUM QUALIFICATIONS: GS-14

Specialized Experience: For the GS-14, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS13 in the Federal service. Experience for this position includes: Designing, developing, and adapting mathematical, computer science, statistical, and data science methods and techniques to organizational processes; Providing guidance on the effective use of applications, data management, visualization tools, and emerging technologies in support of agency programs; Providing data science leadership in the development, analysis, and implementation of data programs; Providing expert guidance and overseeing policies and standards related to the development and use of data science tools and methods.
EDUCATION
A degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer.
Additional information
This announcement is issued under the Direct-Hire authority. Consistent with 5 U.S.0 3304(a)(3) and OPM regulations (5 CFR 337 Subpart B) on Direct-Hire: All candidates who meet all the qualification and other eligibility requirements may be referred for consideration. Competitive examining rules providing for rating and ranking and veterans' preference do not apply.
Appointments made under this authority will be processed as new appointments to the Civil Service. Current Civil Service employees would, therefore, be given new appointments to the Civil Service. Current Federal employees may be required to serve a new probationary period (5 CFR 315.802(b).
Individuals who have received a Voluntary Separation Incentive Payment, otherwise known as a buyout, must repay that incentive if they are reemployed by the Federal Government within five years of separation.
Reasonable Accommodation (RA) Requests: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency Based Assessments and appropriate supporting documentation for RA must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments if you received the link after the close of the announcement. To determine if you need a RA, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments.
The Department of Commerce also provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the Human Resources Office. The decision on granting reasonable accommodation will be on a case-by-case basis. TTY users can contact the Human Resources Office via the Federal Relay Service, 1-800-877-8339.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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