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Entry Level Data Science Jobs in Springfield, VA

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ... A Bachelor's degree is required, with a preference for quantitative science or business disciplines ...

Accenture

Data Protection Sr. Analyst

Washington, DC · Hybrid

$84.80K - $100.70K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Actalent

Entry Level Recruiter | Sales Trainee

Fairfax, VA · On-site

$50K - $60K/yr

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 ...

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

As of May 29, 2026, the average hourly pay for entry level data science in Springfield, VA is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.36 per hour, depending on experience, location, and employer.

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 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 entry level data science jobs?

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 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.

What are the most commonly searched types of Data Science jobs in Springfield, VA? The most popular types of Data Science jobs in Springfield, VA are:
What are popular job titles related to Entry Level Data Science jobs in Springfield, VA? For Entry Level Data Science jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Springfield, VA look for? The top searched job categories for Entry Level Data Science jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Entry Level Data Science jobs? Cities near Springfield, VA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Entry-Level Analyst

Entry-Level Analyst

Augur Consulting

Arlington, VA • On-site

Full-time

Posted 5 days ago

Job description

Entry-Level Analyst
U.S. citizenship required.
Are you a critical thinker with acumen for problem solving? Would you like to help the government tackle some of its most challenging cost, schedule, and performance issues? Then we want to talk with you. Here at Augur, we believe in creating a fun and challenging environment that embraces team spirit while fostering high-performance.
Augur is a small business, and every employee has a direct impact on the success of the company. New hires receive intensive training and are quickly put into a position to provide unique and meaningful contributions. Analysts work in a collaborative and cross-functional environment, interfacing with subject matter experts, gaining exposure to a wide variety of analytical disciplines, and learning consulting best practices.
We are looking for motivated and analytically oriented recent graduates who are ready to start their career next door to our nation's capital. If you like problem solving, working in a dynamic team environment, and quantitative analysis, this may be the opportunity for you.
Augur Consulting, Inc. is an Equal Opportunity Employer
Responsibilities:
Our analysts work closely with government program offices in the acquisition of cutting edge defense technologies and energy projects. Analysts collaborate with cross functional experts and conduct research to gather inputs, perform analysis, develop models, compile and interpret results, and defend findings.
Cost Analysis responsibilities include: Development and maintenance of complex cost models, life cycle cost analysis, cost risk analysis, and cost performance tracking. Special projects include analysis of alternatives (AoA), business case/cost-benefit analysis, regression analysis, and cost excursions as needed by customers.
Schedule Analysis responsibilities include: Critical path analysis, schedule variance analysis, integrated master schedule development and tracking, vendor performance analysis and tracking, schedule risk analysis and ad-hoc problem solving.
Performance Management responsibilities include: Performing baseline events, audits, surveillance, and analysis/management of vendor performance, ensuring that program baselines are executable and measurable, conducting/leading/training the government on how to perform a proper baseline event, and other ad hoc methods to evaluate vendor performance and ensure tax dollars are executed efficiently.
Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO$TAT, or LITUUS to develop dashboards, assessments, analyses reports, etc. to enable program managers to make informed decisions surrounding cost, schedule, vendor performance and other ad-hoc decision support.
Education:
A Bachelor's degree is required, with a preference for quantitative science or business disciplines (Economics, Math, Statistics, Finance, Business, Physics, Engineering, etc.)
Requirements:
Candidates must be proficient in quantitative analysis, project management concepts, and data collection and interpretation. Strong problem solving, critical thinking, teamwork, communication, and presentation skills are necessary. Applicants should be proficient in MS Office (Word, PowerPoint, and Excel). Experience with MS Project, analytical software tools, and programing languages such as R, Python, and VBA is helpful but not required.
Must be able to obtain and maintain the necessary levels of security clearance.
U.S. citizenship required.

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