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Remote Full Stack Data Scientist Jobs in Virginia

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ...

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

... life sciences organizations on cutting edge innovations - think AI, automation and data ... This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ...

GRVTY

Full Stack Developer

Mclean, VA · On-site +1

$150K - $250K/yr

... Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration ... Work on this program takes place in the McLean, VA area (we cannot support remote work) and ...

Constellis

Full Stack Developer

VA · On-site +1

Work is typically based in a remote environment and subject to frequent interruptions. Business ... Candidates with equivalent degrees (e.g., Robotics, Mechatronics, Data Science, Cybersecurity) will ...

ACI Infotech

Full-stack Developer

Reston, VA · On-site +1

Full Stack Developer Location: Remote Duration: 12 Months (Potential for Extension) Candidate ... Data Structures i.e Collections, Lists, Maps, Sets * OOP concepts and patterns * REST API * Unit ...

QCi

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... Familiarity with real-time data flows (WebSockets, SSE, or streaming telemetry endpoints) on either ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... tech stacks. This position requires a mid-to-senior level of experience, a passion for mission ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Team Velocity

Senior Full Stack .NET Developer

Herndon, VA · On-site +1

$150K - $175K/yr

Strong foundation in computer science principles including object-oriented design, data structures ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Team Velocity

Senior Full Stack .NET Developer

Herndon, VA · Remote

$150K - $175K/yr

Strong foundation in computer science principles including object-oriented design, data structures ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Revolutional, LLC

Senior Full Stack Engineer

Mclean, VA · Remote

$130K - $185K/yr

Remote Terms: Full-time Salary Range: $130K-185k DOE Clearance: Qualified candidates must be US ... Bachelor's degree in Computer Science or related field. * 10+ year of experience in application ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 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 ...

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Remote Full Stack Data Scientist information

What is a remote full stack data scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

How do remote full stack data scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

What are the key skills and qualifications needed to thrive as a remote full stack data scientist?

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.
What are popular job titles related to Remote Full Stack Data Scientist jobs in Virginia? For Remote Full Stack Data Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Data Scientist jobs in Virginia look for? The top searched job categories for Remote Full Stack Data Scientist jobs in Virginia are:
What cities in Virginia are hiring for Remote Full Stack Data Scientist jobs? Cities in Virginia with the most Remote Full Stack Data Scientist job openings:
Remote Full Stack Data Scientist jobs near you

Full Stack Data Scientist

rockITdata

Arlington, VA • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. This is a Remote position.
Key Responsibilities
  • Data Collection and Preprocessing:
    • Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources.
    • Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes.
  • Exploratory Data Analysis and Visualization:
    • Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data.
    • Create interactive visualizations and dashboards to effectively communicate findings to stakeholders.
  • Machine Learning Model Development:
    • Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
    • Optimize model performance through feature engineering, hyperparameter tuning, and model selection.
  • Software Development and Integration:
    • Build scalable and efficient software solutions for deploying machine learning models into production environments.
    • Integrate data science workflows with existing systems and applications to enable seamless data-driven decision-making.
  • Performance Monitoring and Maintenance:
    • Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement.
    • Conduct regular maintenance activities to ensure the reliability, stability, and scalability of data science solutions.
  • Collaboration and Cross-functional Communication:
    • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.
    • Communicate technical concepts and findings effectively to both technical and non-technical audiences.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience in data preprocessing, exploratory data analysis, and feature engineering.
  • Expert-level skills in data visualization platforms (e.g. Qlik, Tableau, Power BI)
  • Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.
  • Strong understanding of machine learning algorithms and statistical modeling techniques.
  • Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
  • Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP).
  • Solid understanding of software engineering principles and best practices for building scalable and maintainable code.

Preferred Qualifications
  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of DevOps practices for continuous integration and deployment (CI/CD).
  • Experience with distributed computing frameworks for parallel processing (e.g., Dask, Ray).
  • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

#LIREMOTE
Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They're who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.
Know the Why.
Value People Above All Else.
Transparency to a Fault.
Progress, Not Perfection.
Be Good by Doing Good.
Smart People Can Disagree.
Bend but Don't Break.
Represent Your Brand.
Think Differently.
Be Amazing, Be Fearless, Smile, Have Fun!
Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!
rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker's new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.
rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.
rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.

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