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Data Science Entry Jobs in Virginia (NOW HIRING)

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

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 ...

kgs

Data Engineer/Data ProjectLead (REMOTE)

Chantilly, VA · Remote

$117K - $140K/yr

... and Data Entry Support Specialists, providing technical leadership, mentorship, performance ... Bachelor's degree in Computer Science, Information Systems, Data Science, Data Engineering, or ...

BCMC

Data Automation Engineer

Arlington, VA · On-site

... Entry on Duty (EOD) Suitability • 5+ years of experience in automation engineering, data ... Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant ...

Airbus

HR Data Engineer- Contract

Herndon, VA · On-site

Automate processes to reduce manual data entry. * Build, refactor and maintain data pipelines that ... Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent ...

Ag

HR Data Engineer- Contract

Herndon, VA · On-site

Automate processes to reduce manual data entry. * Build, refactor and maintain data pipelines that ... Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent ...

NewGen

Data Automation Engineer

Arlington, VA · On-site

Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability * BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant ...

BCMC

Data Automation Engineer

Arlington, VA · On-site

Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability * 5+ years ... Experience supporting federal cybersecurity programs Required Education: BS in Computer Science ...

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How much do data science entry jobs pay per hour?

As of Jun 19, 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.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

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 not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their 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.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
What are popular job titles related to Data Science Entry jobs in Virginia? For Data Science Entry jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Virginia look for? The top searched job categories for Data Science Entry jobs in Virginia are:
What cities in Virginia are hiring for Data Science Entry jobs? Cities in Virginia with the most Data Science Entry job openings:
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Virginia as of June 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 64% Full Time, 28% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,157 per year, or $19.3 per hour.
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

Full-time

Posted 19 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.

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.

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