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Data Science Entry Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and ... Establishing and integrating large datasets, data entry , data conditioning and cleaning, data ...

Your Growth You'll develop dual expertise in geospatial AI/ML data science and national security ... Build tools to filter and visualize data geospatially, enable feedback entry, and integrate with ...

Your Growth You'll develop dual expertise in geospatial AI/ML data science and national security ... entry, and integrate with the existing Data Management Platform * ▸Conduct analysis of overall ...

Data Scientist

Arlington, VA · On-site

$121K/yr

Applicants MUST meet the required basic entry qualification requirements described below: BASIC ... Have a Bachelor's degree in computer science OR bachelor's degree with 30 semester hours in a ...

New

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to perform data ... Allow feedback entry and data analysis * Integrate with existing data management platforms

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to perform data ... Allow feedback entry and data analysis * Integrate with existing data management platforms

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to perform data ... Allow feedback entry and data analysis * Integrate with existing data management platforms

Environmental Data Analyst

Hampton, VA · On-site

$72K - $82K/yr

Utilize various data management tools and applications to perform data entry, quality control ... Bachelor's degree in environmental sciences, computer sciences, data science, mathematics, or ...

New

... Data Scientist to join their NGA Maven program. The role involves performing data analysis ... entry, and integrate with the existing Data Management Platform • Conduct analysis of overall ...

GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via ... Filter and visualize data geospatially Allow feedback entry and data analysis Integrate with ...

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Data Science Entry information

See Virginia salary details

$10

$19

$28

How much do data science entry jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data science entry in Virginia is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What cities in Virginia are hiring for Data Science Entry jobs? Cities in Virginia with the most Data Science Entry job openings:
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

$130K - $160K/yr

Full-time

Re-posted 10 days ago


Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.
  • Salary Range: $130,000 - $160,000/Year, DOE

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.