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

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

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 ...

Pwc

Data Validation Risk - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

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 Science information

See Reston, VA salary details

$11

$19

$28

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

As of Jul 11, 2026, the average hourly pay for entry level data science in Reston, VA is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $22.26 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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 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 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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Entry Level Data Science jobs in Reston, VA? For Entry Level Data Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Reston, VA look for? The top searched job categories for Entry Level Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Data Science jobs? Cities near Reston, VA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Reston, VA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $41,229 per year, or $19.8 per hour.

Data Quality Coordinator

DT Client Services LLC

Arlington, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Big data is our business. At Data Trust, we provide the best political data in the market through our premier national voter file, combined with expansive consumer data inventories and individualized analytical models. We are enabling our right-of-center clients to create a data-first strategy.


Job Summary

Our Data Quality and Development Coordinator will work within our broader data team to cleanse, standardize, and maintain large data sets for the National Voter File with a high degree of accuracy. This entry-level role is focused on executing established workflows under the guidance of senior team members. This role reports to the Data Quality and Development Manager.

Responsibilities

  • Use SQL to standardize and finalize data sets to match existing data structures
  • Identify errors in data sets and escalate findings with proposed fixes to avoid future issues
  • Update internal databases and data sets with voter data information for department, company-wide, and client use
  • Push voter data to various internal databases following established procedures
  • Assist in the preparation and formatting of data for downstream use by other departments
  • Perform other related tasks as requested by other departments, management, and leadership

Skills

  • Working knowledge of SQL
  • Excellent organization, time management, and prioritization skills
  • Ability to work independently on assigned tasks and problem-solve effectively
  • Strong attention to detail and commitment to data accuracy
  • Proficiency in Microsoft Office and Google Workspace products

Qualifications

  • Experience using SQL
  • Bachelor's degree in Political Science, Statistics, or related field
  • Previous technical internship or related experience, preferred
  • Experience with other programming languages (Python, SQL or similar), preferred
  • Familiarity or interest in right-of-center and Republican politics and elections


Benefits & Logistics

  • Full benefits package including four medical plan options, dental, vision, life, and LTD insurance
  • 401(k) plan with company matching
  • Time Away plans including PTO, WFH, and Leave options
  • Company-paid commuter stipends
  • In-Person Monday through Thursday; Remote Fridays
  • Conveniently located modern office space in Arlington, VA


For any inquiries, please contacthr@thedatatrust.com.


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. As a matter of company policy, we are not able to sponsor visas.

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