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Remote Data Scientist Machine Learning Jobs in Virginia

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

... Machine Learning (AI / ML), Natural Language Processing (NLP). We also bring the best ideas, tools ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

Excella

Senior Consultant Data Scientist

Arlington, VA · On-site +1

Senior Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a ... Apply and refine machine learning and predictive modeling techniques to solve complex business ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

$250K/yr

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... Support the deployment and maintenance of production-scale AI and machine learning solutions in ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Experience developing, retraining, or using AI and Machine Learning packages * Experience working ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Experience developing, retraining, or using AI and Machine Learning packages * Experience working ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Excella

Senior Consultant Data Scientist

Arlington, VA · On-site +1

Overview Senior Data Scientists at Excella leverage advanced statistical, machine learning, and ... Apply and refine machine learning and predictive modeling techniques to solve complex business ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Collaborate with data scientists and SMEs to develop ML models using curated datasets. * Conduct ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Bachelor's degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence ...

NewGen

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

... Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect * 5 + years of experience in Data Science, Statistics, and Machine Learning * 5+ years of experience ...

Varsity Tutors

Machine Learning Tutor

Alexandria, VA · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Remote Data Scientist Machine Learning information

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Virginia? The most popular types of Data Scientist Machine Learning jobs in Virginia are:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Virginia? For Remote Data Scientist Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Virginia look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Scientist Machine Learning jobs? Cities in Virginia with the most Remote Data Scientist Machine Learning job openings:
Remote Data Scientist Machine Learning jobs near you

Data Scientist - Cleared

GRVTY

Chantilly, VA • On-site, Remote

Other

Posted 4 hours ago

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).  We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, DevOps, etc.) to the IC.  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.  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.  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.  

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.  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. 

  • 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 Kubernetes 
  • Building and maintaining CI/CD pipelines for data and platform services
  • Familiarity with Linux-based systems
  • Solid understanding of DevOps principles (automation, monitoring, reliability)

Apply