2

Entry Level Data Science Jobs in Gainesville, VA

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Created Test Data specification document for the application covering the associated interfaces ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

Created Test Data specification document for the application covering the associated interfaces ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

Entry Level Staff Engineer

Reston, VA · On-site

$70 - $100/hr

... reviews, data entry/analysis, development of presentations, specification writing, design of ... Bachelor's degree in engineering or science - required. * Entry level to up to 5 years of ...

Entry Level Staff Engineer

Reston, VA · On-site

$70 - $100/hr

... reviews, data entry/analysis, development of presentations, specification writing, design of ... Bachelor's degree in engineering or science - required. * Entry level to up to 5 years of ...

... data, integrations, and other technology solutions based on project needs. • Support testing ... Science, or a related field. • Authorization to work in the United States on a permanent basis ...

Showing results 21-40

Entry Level Data Science information

See Gainesville, VA salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data science in Gainesville, VA is $18.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.11 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Gainesville, VA?

The most popular types of Data Science jobs in Gainesville, VA are:

What job categories do people searching Entry Level Data Science jobs in Gainesville, VA look for?

The top searched job categories for Entry Level Data Science jobs in Gainesville, VA are:

What cities near Gainesville, VA are hiring for Entry Level Data Science jobs?

Cities near Gainesville, VA with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Gainesville, VA as of August 2026, with employment types broken down into 87% Full Time, and 13% Temporary. Highlights an 100% In-person job distribution, with an average salary of $39,129 per year, or $18.8 per hour.

Data Engineer Analyst (WDP)

Bespoke Technologies, Inc.

Herndon, VA • On-site

$52 - $68/hr

Other

Posted yesterday

New


Job description

BT-156 – Data Engineer Analyst (WDP)

Skill Level: Entry/Junior

Location: Chantilly/Herndon

MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.

Role Description:

This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.

Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.
Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.
Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).
#J-18808-Ljbffr