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Entry Level Data Scientist Jobs in Springfield, VA

Insilico Logix

QA Analyst - Entry Level

Reston, VA

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

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QA Analyst - Entry Level

Herndon, VA

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

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Scientist information

See Springfield, VA salary details

$48.3K

$173.3K

$255.8K

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

As of Jul 18, 2026, the average yearly pay for entry level data scientist in Springfield, VA is $173,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $178,600.00 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 Springfield, VA? The most popular types of Data Scientist jobs in Springfield, VA are:
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What cities near Springfield, VA are hiring for Entry Level Data Scientist jobs? Cities near Springfield, VA with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
TSA On Call Data Collector

TSA On Call Data Collector

Science Applications International Corporation

Washington, DC • On-site, Remote

Part-time

Re-posted 7 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services

Job description


SAIC is seeking an entry level Part time on-call Data Technician for upcoming work in various locations throughout the US. In this role you will support operational testing of various types of security equipment located in the nation's airports. Data collection tasks may include manual data collection using mobile handheld technologies, downloading data stored on security equipment, conducting operator interviews, timing of processes/procedures, evaluating vendor/contractor-provided training, and providing daily input of activities to site lead(s) in a timely manner. Duties may also include passing through security equipment to test equipment and/or procedures. Candidates can be located anywhere throughout the United States near a major airport to be considered for this position. This is an on call position for surge support. You must be able and willing to travel up to 3 months at a time as needed.
Qualifications
  • High School diploma + 2 years relevant experience or Associates + 0.
  • Collects data under the supervision of a site lead, shift lead, or experienced data collector.
  • Reviews collected data to adjudicate any anomalies identified by the site lead/data analysis personnel.
  • Strong written and oral communication skills required, as well as ability to work well with others in team.
  • Must be able to present oneself professionally in dress and demeanor.
  • Must maintain responsible, dependable behavior, as well as professional focus and awareness while working in potentially stressful environment that includes noise from alarms, machinery, and people/crowds and hard deadlines.
  • Ability and willingness to stand for long periods of time during an 8-hour shift.
  • 100% travel required; each trip duration may be 2 weeks to 3 months.
  • Must be willing to travel to various locations throughout the US for the duration of the assignment.
  • Must be able to lift 50 pounds.
  • Must be comfortable in tight spaces and having the ability to climb stairs and ladders and walk across catwalks as needed.
  • Ability to obtain DHS suitability.
  • Clearance: Must be a U.S. Citizen with the ability to obtain a Public Trust Clearance.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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