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Entry Level Data Scientist Jobs in Reston, VA (NOW HIRING)

ManTech

Junior AI/ML Strategist

Arlington, VA · Hybrid

Minimum Qualifications: * Bachelor's Degree in Business, Computer Science, Data Science ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

SynergisticIT

Junior Java/Backend Engineer

Bethesda, MD · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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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All JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Reston, VA

Entry Level Data Scientist information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

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

As of Jun 30, 2026, the average yearly pay for entry level data scientist in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 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 Reston, VA? The most popular types of Data Scientist jobs in Reston, VA are:
What are popular job titles related to Entry Level Data Scientist jobs in Reston, VA? For Entry Level Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Reston, VA look for? The top searched job categories for Entry Level Data Scientist jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Data Scientist jobs? Cities near Reston, VA with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you

Declassification Analyst - Entry Level

Global Engineering & Technology, Inc. (GET)

Hyattsville, MD • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 18 days ago

Job description

This is an entry-level professional position on our Declassification Analysis team and training is provided.

Work is 100% ON-SITE (no remote). Work takes place primarily at the National Archives & Records Administration (NARA) facility in College Park, Maryland.

Global Engineering & Technology (GET) is seeking a highly qualified individual for the position of Declassification Analyst I in support of the Department of Energy's Office of Classification. This is a highly compensated permanent position as a full-time employee with benefits.

As a Declassification Analyst I, you’ll gain specialized training while playing a vital role in safeguarding some of our nation’s most sensitive national security information, making a real impact as you grow your career. Your analytical work directly shapes how critical government information is understood, protected, and responsibly released to the public.

The Declassification Analyst I conducts declassification reviews and analyses of classified government information relating to nuclear weapons technology and naval nuclear propulsion systems. This work takes place primarily at the NARA II facility in College Park, Maryland. Analysis of classified records for purposes of declassification is performed in accordance with applicable laws, regulations, DOE orders, and DOE Office of Classification procedures for Restricted Data (RD), Formerly Restricted Data (FRD), and National Security Information (NSI) related to technical areas such as:

  • Nuclear weapons design, development, testing, production, and deployment
  • Special nuclear material (SNM) production technologies
  • Nuclear weapons safeguards and security, and transportation
  • Intelligence/counterintelligence
  • Chemical and biological defense activities
  • Radiological weapons
  • Space nuclear reactors
  • Naval nuclear propulsion

Compensation Range: $75,000-$90,000/Year

Apply today to launch a high-impact career at the intersection of national security, science, and history.

Requirements

Security Clearance:
  • MUST possess an active DOE Q clearance or an active DOD Top Secret clearance
Location:
  • Applicants must reside within a 1-hour commute from College Park, Maryland
Skills:
  • Applicants MUST pass an online pre-employment reading comprehension assessment
Experience:
  • This is an entry-level position and training is provided
  • Experience in classification and/or declassification is not mandatory but highly sought after
  • Individuals who have completed DOE's Historical Records Restricted Data Reviewers (HRRDR) course are strongly encouraged to apply
Education:
  • Although a Bachelor’s degree in engineering, physical science, or nuclear science from an accredited university or college is required,
    • Individuals with a Bachelor's degree and any other relevant training in nuclear weapons or nuclear reactor technology will be strongly considered
    • Individuals with a Bachelor's degree and experience in related declassification analysis will be strongly considered
    • Graduates of the Navy Nuclear Power School are urged to apply regardless of their academic major

Benefits

We provide exceptional benefits to our full-time employees (spouse/family coverage option is available at a company-subsidized rate).

Benefits include:

  • Medical Plan Options With UnitedHealthcare
  • Dental Insurance
  • Long-term and Short-term Disability Insurance
  • Life Insurance
  • AD&D Insurance
  • Generous 401(k) Match

All benefits are effective on day one of employment.

This job posting is not intended to be a comprehensive list of duties or qualifications. The qualifications and requirements listed in this posting are intended as a general guide. Meeting these criteria does not guarantee selection, as additional factors (including nature of experience, skills, and organizational needs) will be considered during the review process.

Global Engineering & Technology, Inc. (GET) does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.