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Remote Data Science Jobs in Washington, DC (NOW HIRING)

ManTech

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 ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Individuals interested in this role will provide Data Science subject matter expertise and be essential in the programs modernization through prioritization of data-based decision making.

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... 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 ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

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:

NT Concepts

Data Scientist

Herndon, VA · On-site +1

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 ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

RapidSoft Corp

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

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Showing results 1-20

All JobsRemote Data Science JobsRemote Data Science Jobs in Washington, DC

Remote Data Science information

See Washington, DC salary details

$25.2K

$112.2K

$214.2K

How much do remote data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data science in Washington, DC is $112,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,977.00 and $155,681.00 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.

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?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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Remote Data Science jobs near you
Data Scientist

Data Scientist

ManTech

Washington, DC • On-site, Remote

$141K - $236K/yr

Other

Medical, Life, Retirement, PTO

Posted 23 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

32nd of 190 rated software companies

Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within the National Capital Region. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified operational environment.

This role supports mission analytics, AI-enabled workflows, predictive analytics, and operational intelligence applications. You will translate raw data into actionable insights, focusing on data science solutions for the mission.

Responsibilities include but are not limited to:

  • Apply advanced statistical analysis and predictive analytics techniques to complex mission datasets.
  • Develop and deploy models for entity resolution, graph analytics, and operational intelligence.
  • Design and implement AI-enabled workflows and applications to enhance mission efficiency.
  • Focus on Explainable AI (XAI) to ensure model transparency, interpretability, and responsible use.
  • Utilize Python AI ecosystems and LLM frameworks (PyTorch, Scikit-learn) for model development and implementation.

Minimum Qualifications:

  • 7 or more years of experience in data science, machine learning, or operational intelligence. Relevant additional experience will be considered in lieu of degree.
  • Proficiency in Python and relevant analytical libraries (e.g., PyTorch, Scikit-learn).
  • Experience with statistical modeling, predictive analytics, and deploying models to production.
  • Strong analytical and problem-solving skills, with the ability to define and measure operational value.
  • Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).

Preferred Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a quantitative field.
  • Experience with Large Language Model (LLM) frameworks and fine-tuning techniques.
  • Familiarity with geospatial analytics tools.
  • Advanced degree (Master's or PhD) in a relevant quantitative discipline.

Clearance Requirements:

  • TS/SCI with ability to obtain and maintain a polygraph 

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Constantly operates a computer and other office productivity machinery.

The projected compensation range for this position is $141,500.00-$236,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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