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

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

... data science missions. A seamless group of contractor and customer personnel work to create ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

AI and Data Science Engineer III

Mclean, VA · On-site +1

$115K - $139K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

We seek a Mid-level Data Scientist to support a client in hybrid remote / Reston, VA . What you get to do everyday: * Support the Advanced Data Consortium (ADC), a member-driven program that enables ...

New

Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

Data Scientist

Reston, VA · On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Scientist

Reston, VA · On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and ...

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Remote Data Science information

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 Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Remote Data Science jobs in Reston, VA? For Remote Data Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Reston, VA look for? The top searched job categories for Remote Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Science jobs? Cities near Reston, VA with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Reston, VA as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

$105K - $109K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

AACOM is seeking a full-time, motivated Data Scientist to join the Innovation team. Reporting to the Director of Data Science, this role supports AACOM’s internal analytics, applied research initiatives, and data product development by building and improving data pipelines, implementing research designs, and developing data visualization tools.

This position is ideal for an early-career data professional who enjoys working with complex datasets, building reproducible workflows, and translating data into actionable insights. The role emphasizes clean Python-based development, sustainable data processes, dashboard development, and applied analytics supporting osteopathic medical education.

Our ideal candidate is someone who:

  • Enjoys solving complex problems with data and building efficient, scalable workflows
  • Is naturally curious, solutions-oriented, and committed to continuous learning
  • Has experience using Python and SQL for analytics, automation, or data engineering
  • Is comfortable leveraging AI tools and emerging technologies to improve efficiency, support innovation, and enhance decision-making
  • Aligns with AACOM’s mission to advance osteopathic medical education and improve public health



ABOUT AACOM


The American Association of Colleges of Osteopathic Medicine, or AACOM, was founded in 1898 to lend support and assistance to the nation's osteopathic medical schools, and to serve as a unifying voice for osteopathic medical education. The association is guided by its Board of Deans of member colleges of osteopathic medicine, and various other member councils and committees.

AACOM represents and advances the continuum of osteopathic medical education by:

  • Supporting our member institutions as they educate the future physician workforce
  • Increasing awareness of osteopathic medical education and osteopathic medicine
  • Promoting excellence in medical education, policy, research, and service and
  • Fostering innovation and quality throughout medical education



WHAT YOU’LL DO


Data Engineering & Process Improvement

  • Develop and maintain Python-based data pipelines that collect, process, and ingest data from multiple sources.
  • Improve existing data workflows with a focus on quality assurance, sustainability, documentation, and maintainability.
  • Ensure analytic workflows are reproducible, well-structured, and scalable.
  • Support responsible handling of sensitive data in compliance with FERPA and AACOM data governance standards.

Data Visualization & Internal Data Products

  • Develop dashboards and data visualization tools primarily using Tableau and Python.
  • Maintain and enhance existing dashboards, internal analytics tools, and client-facing data products.
  • Translate complex datasets into accessible and actionable visual insights.

Analytics & Modeling Implementation

  • Translate defined research designs into executable analytic workflows.
  • Clean, transform, and validate complex administrative and survey datasets.
  • Conduct quantitative analyses with increasing independence over time.
  • Contribute to applied research initiatives including workforce studies, survey analysis, and text-based or NLP projects.
  • Support development and operationalization of statistical and/or ML models used in research and operational initiatives.

Collaboration & Continuous Improvement

  • Partner with colleagues across AACOM departments to support strategic data and analytics initiatives.
  • Contribute to a culture of innovation, continuous learning, and process improvement.
  • Document workflows, methodologies, and technical processes clearly and consistently.
  • Stay current on emerging tools, technologies, and best practices in data science and analytics.



WHO WE NEED


Required Education & Experience

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Public Health, or a related field; or equivalent professional experience.
  • Three(3) or more years of experience working with Python and SQL.
  • One(1)or more years of experience building data models and using advanced analytics, including machine learning or statistical modeling techniques.

Knowledge, Skills, & Abilities

  • Strong proficiency in Python and SQL.
  • Experience with data manipulation, statistical analysis, machine learning, and data visualization libraries.
  • Strong data cleaning, validation, and troubleshooting skills.
  • Experience working with structured datasets and relational databases.
  • Exposure to cloud platforms such as AWS and/or Azure.
  • Understanding of Dev Ops or deployment practices.
  • Comfort using modern AI-assisted tools where appropriate.
  • Ability to work independently, manage ambiguity, and solve problems proactively.
  • Strong attention to detail and documentation practices.
  • Intellectual curiosity, adaptability, and openness to feedback.
  • Ability to manage sensitive data responsibly and in compliance with FERPA.



WHAT WE DO FOR YOU

  • Annual bonus program
  • 403(b) with generous employer contribution
  • Company paid medical, dental, and vision insurance
  • Company-provided life insurance, short-term disability, and long-term disability plans
  • Flexible Spending Account
  • 12 annual company-paid holidays
  • Vacation & sick leave benefits
  • Professional development opportunities
    And more!



COMPENSATION AND WORK ARRANGEMENT


This is a full-time exempt position with a remote work arrangement. Occasional domestic travel is required. The salary range for this position is $105,000 to $109,000 annually.



ADDITIONAL INFORMATION


AACOM is committed to fostering an inclusive and respectful workplace. We provide equal employment opportunities to all applicants and employees and do not discriminate based on any legally protected status or characteristic. All employment decisions are made based on individual qualifications, merit, and organizational needs. If you require an accommodation due to a disability, please inform your recruiter.



HOW TO APPLY


For consideration, interested candidates should submit a cover letter and resume via Careers at AACOM on our website, aacom.org. Your cover letter should address your experience, qualifications, and why you are interested in joining the AACOM team.

To learn more about AACOM, please visit: aacom.org.