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Freelance Data Science Engineer Jobs in Virginia

Altagrove LLC

Data Science

Norfolk, VA · On-site

Conduct data exploration, feature engineering, model training, validation, testing, and performance ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Virginia Beach, VA · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Richmond, VA · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Blacksburg, VA · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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Freelance Data Science Engineer information

What is a freelance data science engineer?

A Freelance Data Science Engineer is a professional who works independently on a contract or project basis to help organizations analyze complex data, build data pipelines, and develop machine learning models. Unlike full-time employees, freelancers typically work with multiple clients, offering their expertise in data wrangling, statistical analysis, and algorithm development as needed. They may assist with everything from data preprocessing to deploying data-driven solutions, often working remotely and with flexible schedules.

What are some common challenges faced by freelance data science engineers when managing multiple client projects simultaneously?

Freelance data science engineers often juggle several projects at once, which can make time management and prioritization particularly challenging. Balancing diverse client expectations, shifting project scopes, and overlapping deadlines requires strong organizational skills and clear communication. Additionally, freelancers must ensure data security and confidentiality across different clients, adapting to various data infrastructures and collaboration tools. Building a structured workflow and setting realistic timelines are key strategies to handle these challenges effectively.

What are the key skills and qualifications needed to thrive as a freelance data science engineer, and why are they important?

To thrive as a Freelance Data Science Engineer, you need a solid background in statistics, programming (typically Python or R), and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with machine learning libraries (like TensorFlow or scikit-learn), cloud platforms (such as AWS or GCP), and data visualization tools is highly valuable. Strong communication, project management, and problem-solving skills set top freelancers apart by enabling effective client collaboration and clear presentation of findings. These competencies are crucial for delivering actionable insights, managing diverse projects independently, and building lasting client relationships.

What is the difference between Freelance Data Science Engineer vs Data Analyst?

AspectFreelance Data Science EngineerData Analyst
CredentialsTypically requires a degree in data science, computer science, or related fields; certifications like Python, R, or cloud platforms are commonUsually holds a degree in statistics, mathematics, or related fields; certifications may include Excel, SQL, or Tableau
Work EnvironmentIndependent, project-based work often remote; collaborates with clients across industriesOften employed within organizations or agencies; may work on ongoing internal projects
Industry UsageCommonly hired for complex data modeling, machine learning, and predictive analytics projectsFocuses on data reporting, visualization, and basic analysis to support business decisions

While both roles involve working with data, Freelance Data Science Engineers typically handle advanced analytics and machine learning projects independently, whereas Data Analysts focus on interpreting data through reports and visualizations within organizations.

What are popular job titles related to Freelance Data Science Engineer jobs in Virginia?

For Freelance Data Science Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science Engineer jobs in Virginia look for?

The top searched job categories for Freelance Data Science Engineer jobs in Virginia are:

What cities in Virginia are hiring for Freelance Data Science Engineer jobs?

Cities in Virginia with the most Freelance Data Science Engineer job openings:

Freelance Data Science Engineer jobs near you
Infographic showing various Freelance Data Science Engineer job openings in Virginia as of August 2026, with employment types broken down into 43% Full Time, 30% Part Time, and 27% Contract. Highlights an 66% In-person, and 34% Remote job distribution.

Cloud Engineer - Data Science

Reston, VA • On-site

Bonfire Technologies
11 - 50 employees
Learn more about Bonfire Technologiesexternal

Full-time

Re-posted 11 days ago

Job description

Job Summary:
BONFIRE TECHNOLOGIES LLC is seeking a skilled Data Scientist to help analyze large amounts of raw information to find patterns and optimize performance. The role involves building data products, analyzing trends, and using machine learning to inform better business decisions.
Responsibilities:
• Research and detect valuable data sources and automate collection processes
• Perform preprocessing of structured and unstructured data
• Review large amounts of information to discover trends and patterns
• Create predictive models and machine-learning algorithms
• Modify and combine different models through ensemble modeling
• Organize and present information using data visualization techniques
• Develop and suggest solutions and strategies to business challenges
• Work together with engineering and product development teams
Qualifications:
Required:
• 2+ years' experience of working on Data Scientist or Data Analyst position
• Significant experience in data mining, machine-learning and operations research
• Good experience using business intelligence tools (such as Tableau) and data frameworks (such as Hadoop)
• Good knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Strong math and analytical skills, with business acumen
• Strong communication and presentation skills
• Good problem-solving abilities
• BSc or BA degree in Computer Science, Engineering or other relevant area
Preferred:
• graduate degree in Data Science or other quantitative field
Company:
We offer enterprise-wide technology services for small and mid-sized companies. Founded in , the company is headquartered in St Louis Park, MN, US, , with a team of 2-10 employees. The company is currently Early Stage.

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