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Data Science Entry Level Remote Jobs in Virginia

Document Entry Clerk

Alexandria, VA ยท Remote

$18.25 - $24.25/hr

This is an excellent opportunity for someone looking for an entry-level remote position with flexible work arrangements. Responsibilities * Enter data from physical and digital documents into company ...

Data Scientist

Alexandria, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

... remote sensing datasets - familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience ...

Data Scientist

Chantilly, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Arlington, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247320 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Chantilly, VA ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

... or remote sensing datasets -- familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity.

Data Scientist, Mid

Arlington, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241792 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 ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243983 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 ...

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 ...

Data Scientist

Norfolk, VA ยท On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Norfolk,VA,US Share job via: Share Data Scientist The Opportunity: Design and implement effective AI solution architecture utilizing approaches of ...

Data Scientist

Chantilly, VA ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

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Data Science Entry Level Remote information

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are popular job titles related to Data Science Entry Level Remote jobs in Virginia?

For Data Science Entry Level Remote jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Virginia look for?

The top searched job categories for Data Science Entry Level Remote jobs in Virginia are:

Infographic showing various Data Science Entry Level Remote job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Science Associate (Part-Time)

American Institutes for Research

Arlington, VA โ€ข On-site, Remote

$67K - $68K/yr

Full-time, Part-time

Posted 5 days ago


Job description

AIR's Tek Office is seeking a part-time Data Science Associate to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization and partners with clients to deliver innovative data collection, communication, learning, user experience, and data-driven solutions across web, mobile, analytics, and data management platforms. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building.

Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.

This remote position requires flexibility to work from AIR's Crystal City office. This part-time position is expected to run from September 2026 through May 2027.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The key responsibilities for the position include, but are not limited to

  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools.ย 
  • Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools.ย 
  • Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques.ย 
  • Assist with computer modeling and simple to moderately complex forecasting using standard software packages.ย 
  • Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision.ย 
  • Create replicable, well-documented code in a shared environment.ย 
  • Coordinate project support needs and requests from senior management and clients.ย 
  • Develop systems to maintain and verify the accuracy of data for assigned projects.ย 
  • Utilize external resources to supplement, organize, and contribute to tasks and projects.ย 
  • Present and occasionally support or organize content for internal and external meetings.ย 
  • Stay current on emerging technologies and provide recommendations for research applications.ย 
  • Review and optimize code written by others.ย 
  • Provide innovative and appropriate solutions to complex problems.
  • The scope of responsibilities may be modified as business needs evolve.

Qualifications:

Education, Knowledge, and Experience

  • Master's degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) and enrolled in a PhD program.
  • Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required.ย 

Skills

  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Strong communicator with the ability to engage effectively across all organizational levels and diverse backgrounds, including virtualย environments, and to convey complex technical concepts clearly and accurately in plain language.ย 
  • Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goalsย in a virtual environment.ย 
  • Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities.ย 
  • Proficient with database technologies such as MySQL and MS SQL Server.ย 
  • Familiarity with generative AI tools and applications for practical use cases.ย 
  • Knowledge of Python web frameworks (e.g., Django, Flask) isย advantageous.ย 
  • Interestย in exploring and developing innovative tools for data-driven applications.ย 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.ย 

ACCESSIBILITY NOTICE:ย If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone atย tboone@air.orgย or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer:

AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out toย recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atย ReportFraud.ftc.gov. You can also report it toย your state attorney general. Find out more about how to avoid scams atย ftc.gov/scams.