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

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

... REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data science, machine ...

Remote Data Automation Engineer

Washington, DC · Remote

$129K - $155K/yr

Job#: 3038065 Data Automation Engineer Location: 100% Remote with potential for quarterly travel to ... Required Qualifications * BS degree in Computer Science or a related field. * 2+ years of ...

New

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

Data Analysts/Data Scientists Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen able to obtain Secret Clearance. @Orchard LLC is anticipating a need for several Data ...

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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.
What are the most commonly searched types of Data Science jobs in Washington, DC? The most popular types of Data Science jobs in Washington, DC are:
What job categories do people searching Remote Data Science jobs in Washington, DC look for? The top searched job categories for Remote Data Science jobs in Washington, DC are:
Data Science Manager

Data Science Manager

Maximus

VA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 288 frontline employees who took The Breakroom Quiz

244th of 428 rated business services


Job description

General information
Job Posting Title
Data Science Manager
Date
Tuesday, May 12, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is seeking a Data Science Manager to support the Indiana Eligibility Control Center, helping drive data-informed decision-making across the program.
Maximus has supported the Indiana Health Coverage Programs (IHCP) as the state's enrollment broker since 2007. In this role, Maximus helps eligible Indiana residents understand their health coverage options, provides guidance on selecting a managed care health plan, and assigns health plans for members who do not make a selection.
The program is centered on delivering unbiased, member-focused support, ensuring individuals receive clear, accurate information to make informed decisions that best meet their healthcare needs.
This is a remote role.
Essential Duties and Responsibilities:
- Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.
- Compile and evaluate data to improve operations process or quality.
- Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.
- Establish a vision for productization of data science artifacts and delivering Data Science as a Service.
- Work with reporting and business analyst to interpret/translate various datasets to tell a story to business partners and senior leadership team.
- Assist in compiling, creating, and managing reporting.
- Drive team alignment with key objectives that align with organizational and project goals.
- Collect, arrange, and inspect data using various tools to create required reports.
- Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.
- Collect, analyze, and interpret data into actionable opportunities for improvement.
- Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
- Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.
- Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.
- Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.
- Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.
- Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.
- Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.
- Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
Minimum Requirements
- Bachelor's Degree in related field.
- 5-7 years of relevant professional experience required.
- Leadership skills with formal training and/or prior experience.
- Programming Languages: SQL, Python, R.
- Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.
- Experience with big data, including structured, semi-structured, and unstructured data.
- Experience with machine learning, specifically in the domain of natural language processing (NLP).
- 2-4 years of leadership skills with formal training and/or prior experience
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
120,000.00
Maximum Salary
$
145,000.00

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