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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

Software Engineer

Rockville, MD

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 ...

Accenture

Data Protection Sr. Analyst

Washington, DC · Hybrid

$84K - $100K/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.

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 ...

SynergisticIT

Junior Full-Stack 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 ...

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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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 10, 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.

How to get a data science job with no experience?

Entry level data scientist roles often require strong foundational skills in programming (Python or R), statistics, and data manipulation. Gaining experience through online courses, personal projects, internships, or certifications like those from Coursera or edX can improve your chances; building a portfolio with real-world datasets is also beneficial.

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
Entry-Level Java Developer/Automation Tester

Entry-Level Java Developer/Automation Tester

SAIC

Ashburn, VA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

71st of 204 rated it services

Job description

Job ID: 2613418

Location: Ashburn, VA, US

Date Posted: 2026-06-05

Category: Software

Subcategory: SW Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is currently seeking a motivated and energetic Java/JEE Developer (Entry Level) to join our team to begin an exciting and challenging career in Ashburn, VA.

This position starts in an automation tester role for the first 12-18 months of employment (developing automation test cases using Java to verify the processing of incoming and outgoing messages and storing the end state data in the database). This position will be 100% on-site for the first year of employment.

The Java Developer will participate in the system architecture design, systems engineering, development, integration testing and validation, and all aspects of the software life-cycle (requirements to design to implementation to test) for a browser-based application implemented using Java and backend web services. The candidate will be responsible for developing and testing Java code as dictated by project requirement.

Job Responsibilities

  • Design, develop, and implement Micro Service Architecture JEE software applications.
  • Use modern software engineering tools including Eclipse, Gitlab, and Atlassian Suites for ticketing and documentation, development, and testing the software.
  • Write automation test scripts using Java.
  • Generating test data and performing Data Validation by writing SQL queries.
  • Work with users in an Agile development approach to understand and document requirements in JIRA, then elicit feedback and refine solution through demonstrations.
  • Present the solution at formal and informal design reviews, and document the design according to the Government’s system lifecycle methodology.

Qualifications

Required Skills and Experience

  • Bachelor’s degree in Computer Science or related field with 0+ years of technical experience.
  • Experience with Java & Java Frameworks (design and software development experience including designing, programming, and documenting large-scale software systems.)
  • Experience with:
    • Spring Boot.
    • AWS Cloud.
    • Developing front-end using Angular and React.
  • Javascript.
  • IBM MQ/AWS SQS.
  • Oracle/PostgresDB.
  • Write SQL queries with clear understanding of relational databases.
  • Ability to generate test data and perform validation.
  • Experience with NoSQL DBs like MongoDB, DocumentDB, DynamoDB etc.

Desired Skills and Experience

  • Experience with Cloud Migration.
  • AWS Lambda.
  • Dynatrace.
  • Docker.
  • Kubernetes.
  • JEE Server experience (Weblogic\Websphere\JBOSS\etc.)
  • Jenkins.
  • Experience writing their own automation scripts.
  • Selenium.
  • First-hand experience working with large project teams (working with the Federal Government a strong plus.)
  • Demonstrated ability to think critically and creatively to develop innovative solutions to software problems.
  • Ability to develop and maintain components with stringent performance requirements.
  • Agile development experience a plus.
  • Master’s degree in Computer Science or related field.

Customer Requirements

  • Clearance – Ability to obtain and hold a public trust position and favorable suitability based on a CBP Background Investigation.
  • Citizenship – Must be a US Citizen.
  • Location – This position will require on-site work in Ashburn, VA 5 days per week for the first year of employment. All candidates must be within the GWA/commutable area.

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