2

Remote Data Science Student Jobs in Virginia (NOW HIRING)

... 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 ...

Data Scientist

Reston, VA ยท 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 ยท 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 - Cleared

Chantilly, VA ยท On-site +1

$250K/yr

... 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 ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/yr

Through partnerships with collectors, data scientists, and software engineers, Data Engineers ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/yr

Through partnerships with collectors, data scientists, and software engineers, Data Engineers ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Scientist

Mclean, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP ...

Data Scientist

Mclean, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join our team to provide support specializing in natural language(NLP) processing and associated data ...

next page

Showing results 1-20

Remote Data Science Student information

What is the difference between Remote Data Science Student vs Remote Data Analyst?

AspectRemote Data Science StudentRemote Data Analyst
Required CredentialsEnrolled in or recently completed data science courses, certificationsDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentLearning-focused, internship or entry-level projects, mentorshipAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageEducational institutions, internships, entry-level roles in tech, finance, healthcareBusinesses across industries, performing routine data analysis tasks

The main difference is that a Remote Data Science Student is typically in training or early learning stages, focusing on gaining skills through coursework and internships. In contrast, a Remote Data Analyst is usually engaged in applying existing skills to analyze data and generate insights for organizations. Both roles are entry-level but differ in experience, responsibilities, and focus areas.

What are remote data science students?

Remote data science students are individuals who study data science through online programs or courses, rather than attending classes in person. They learn key concepts such as statistics, machine learning, and programming using digital resources and remote instruction. This flexible approach allows students to access high-quality education from anywhere, often at their own pace. Remote data science students may participate in virtual classes, complete assignments online, and collaborate with peers and instructors through digital platforms.

How do Remote Data Science Students typically collaborate and communicate with peers and instructors to enhance their learning experience?

Remote Data Science Students often engage with peers and instructors through online platforms such as discussion forums, video calls, and collaborative coding environments. Regular participation in virtual study groups, project teams, and mentorship sessions can help students stay motivated and deepen their understanding of complex topics. Proactively reaching out for feedback, sharing progress, and contributing to group projects are key ways to build valuable connections and learn industry-relevant teamwork skills, even in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote Data Science Student, and why are they important?

To thrive as a Remote Data Science Student, you need a solid grounding in statistics, programming (Python or R), and data analysis, often supported by a relevant undergraduate degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL, Git, and data visualization software is essential, along with experience using online learning platforms. Strong time management, self-motivation, and effective communication skills help you stay on track and engage with peers and instructors remotely. Mastering these skills ensures you can independently acquire knowledge, complete projects, and collaborate effectively in a virtual learning environment.
What are the most commonly searched types of Data Science Student jobs in Virginia? The most popular types of Data Science Student jobs in Virginia are:
What job categories do people searching Remote Data Science Student jobs in Virginia look for? The top searched job categories for Remote Data Science Student jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Science Student jobs? Cities in Virginia with the most Remote Data Science Student job openings:

Data Scientist - Cleared

GRVTY

Chantilly, VA โ€ข On-site, Remote

Other

Posted yesterday


Job description

What Impact You'll Have

Our team is charged with taking commercial and academic innovation high-side, in domains of Artificial Intelligence / Machine Learning (AI / ML), Natural Language Processing (NLP). ย We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, DevOps, etc.) to the IC. ย The tech stack used is extremely broad - anything cutting edge in the commercial market, the open source community, or the academic research community is likely involved: and if something isn't being looked at yet, you can make that happen.

This effort supports ALL missions of the Intelligence Community, including cyber-related data science missions. ย A seamless group of contractor and customer personnel work to create innovations that supply customer groups with the data sets, models, algorithms, software, and infrastructure they need to increase their mission success. ย Management is hands off, gives the team the freedom to explore new approaches, and markets the best ideas and results to all the other IC customers. ย 

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. ย We're particularly interested in people with any of the following experience:

Work on this program takes place throughout the Reston/Herndon/Chantilly, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer).

What You'll be Owning

GRVTY is seeking a Data Engineer to join one of our top projects in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber analysts to design, develop, build, and analyze data management systems. The data engineer will work with and analyze our client's challenges and provide solutions by designing and implementing batch and streaming data pipelines.ย 

  • Design, develop, and maintain Python-based data processing pipelines and workflow orchestration solutions for large-scale text ingestion, transformation, and enrichment.
  • Develop and implement AI-powered agentic workflows and LLM-integrated applications to automate data triage, classification, analysis, and processing tasks.
  • Build, enhance, and maintain reusable AI capabilities, prompt frameworks, and agent-based services that support enterprise data analysis platforms.
  • Integrate and operationalize Large Language Models (LLMs) to deliver retrieval, reasoning, summarization, information extraction, and decision-support capabilities.
  • Troubleshoot, optimize, and scale text-processing pipelines to ensure data quality, system reliability, and efficient AI-driven workflows.
  • Design and develop APIs and backend services that connect AI models, data pipelines, and mission applications.
  • Collaborate with cross-functional teams including data scientists, software engineers, and product stakeholders to prototype, test, and deploy AI-enabled solutions.
  • Develop Python-based automation tools and services supporting data engineering, workflow orchestration, model integration, and operational efficiencies.
  • Support the deployment and maintenance of production-scale AI and machine learning solutions in mission-focused environments.
  • Evaluate emerging AI technologies and recommend enhancements that improve analytical capabilities and operational outcomes.

What You Must Have

  • Active TS/SCI with Polygraph Clearance
  • Develop and perform ETL on large unstructured datasets.
  • Experience with Python
  • Experience with services including Apache Kafka, Apache Spark, and Prefect
  • Experience containerizing applications using Docker and deployments on Kubernetesย 
  • Building and maintainingย CI/CD pipelinesย for data and platform services
  • Familiarity with Linux-based systems
  • Solid understanding ofย DevOps principlesย (automation, monitoring, reliability)