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Entry Level Data Scientist Jobs in Virginia (NOW HIRING)

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA

$105K - $115K/yr

This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The ...

Peraton

Image Scientist (Entry-level)

Springfield, VA

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Peraton

Image Scientist (Entry-level)

Springfield, VA

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Arcadis

Environmental Scientist

Bluefield, VA · On-site

$4.9K/wk

Arcadis is seeking an Entry Level Geologist or Environmental Scientist to join our team in ... The ideal candidate will bring hands-on experience in remediation field sampling and data ...

Arcadis

Environmental Scientist

Bluefield, VA

$4.9K/wk

Arcadis is seeking an Entry Level Geologist or Environmental Scientist to join our team in ... The ideal candidate will bring hands-on experience in remediation field sampling and data ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Virginia

Entry Level Data Scientist information

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$45.6K

$163.6K

$241.4K

How much do entry level data scientist jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level data scientist in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Virginia? The most popular types of Data Scientist jobs in Virginia are:
What are popular job titles related to Entry Level Data Scientist jobs in Virginia? For Entry Level Data Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Virginia look for? The top searched job categories for Entry Level Data Scientist jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Data Scientist jobs? Cities in Virginia with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Entry Level Python Programmer/Data Scientist/Analyst

Entry Level Python Programmer/Data Scientist/Analyst

SynergisticIT

Arlington, VA • On-site

Other

Posted 17 days ago

Job description

Entry-Level Data Analyst — Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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