3

Data Science Entry Level Remote Jobs in Virginia

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or Physics Nice If You ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Requirements Analyst

Herndon, VA · On-site +1

$100K - $117K/yr

Remote Clearance Required: Public Trust Clearance Position Type: Full-Time About the company: At ... These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices ...

GenAI Developer

Leesburg, VA · On-site +1

$115K - $165K/yr

Experience working in a geographically dispersed, remote team. * Understanding of Data Science principles and best practices. Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business ...

Medical Billing Specialist

Fairfax, VA · On-site +1

$18.50 - $24/hr

Remote / On-site Department: Revenue Cycle Management Overview: CMCI is seeking a detail-oriented ... Collaboratewith the engineering and data science teams to train AI models forenhanced claims ...

AI/ML Engineer

Norfolk, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with artificial intelligence, data science, machine learning ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

next page

Showing results 1-20

Data Science Entry Level Remote information

What are some typical challenges 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 are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

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 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 data science entry level remote jobs?

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 are the most commonly searched types of Data Science Remote jobs in Virginia? The most popular types of Data Science Remote jobs in Virginia 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 July 2026, with employment types broken down into 4% Internship, 62% Full Time, 30% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Junior Data & Insights Specialist

Seneca Holdings

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Great Waters Federal is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Great Waters Federal is seeking a Junior Data & Insights Specialist based in the National Capital Region or available for remote work. The selected candidate will assist with collecting, cleansing, and analyzing datasets to deliver actionable insights and comprehensive reports and dashboards that support informed business decisions. They will assist the lead analyst to bridge technical data expertise with business strategy by developing interactive dashboards to visualize performance trends and offer strategic recommendations to stakeholders.

Roles and Responsibilities include, but are not limited to:

  • Provide entry-level support for analytics delivery, including analysis, requirements support, and documentation support , and program and project management.
  • Assist with capturing requirements (notes, draft user stories, acceptance criteria support), organizing traceability, and maintaining artifact inventories.
  • Support creation and upkeep of documentation such as meeting notes, decision/action logs, knowledge base entries, and basic user guidance; assists with data validation and preparation of materials for stakeholder review.
  • Contribute to delivery documentation and support user validation and test execution.
  • Assist in the delivery of accurate, insightful, and actionable data analyses and recommendations.
  • Ensure that high standards of data quality and integrity are upheld throughout the entire data lifecycle, encompassing data collection, preprocessing, analysis, interpretation, and reporting.
  • Actively detect and address data-related challenges, bottlenecks, or performance deficiencies to maintain the efficient operation of data analysis projects and data-driven initiatives.
  • Develop and maintain reports, dashboards, and visualizations utilizing data visualization tools such as Tableau to effectively communicate key metrics, KPIs, and performance indicators to all stakeholders.
  • Produce both ad-hoc and recurring reports, analyses, and presentations to support business operations, strategic planning, and data-driven decision-making processes.

Basic Qualifications:

  • Bachelor's degree in information technology related field plus two (2) years of professional IT experience.
  • Must be able to successfully complete, pass, and maintain a public trust investigation.
  • Experience in creating and maintaining reports, dashboards, and visualizations utilizing data visualization tools such as Tableau to effectively communicate key metrics, KPIs, and performance indicators to stakeholders.
  • Excellent analytical skills, attention to detail, and strong problem-solving abilities.
  • Excellent written/verbal skills, translating technical info, stakeholder management.
  • Excellent communication and collaboration skills.

Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.