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No Experience Data Science Jobs in Springfield, VA

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

Experience in data science, analytics, or quantitative intelligence analysis with progressive ... Ability to own work and complete tasks on time with little or no supervision. Preferred ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

Experience in data science, analytics, or quantitative intelligence analysis with progressive ... Ability to own work and complete tasks on time with little or no supervision. Preferred ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: * Strong mathematical and statistical skills. * Experience with machine learning algorithms ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Stay up-to-date with the latest advancements in data science techniques and technologies.Preferred Skills:Strong mathematical and statistical skills.Experience with machine learning algorithms and ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: * Strong mathematical and statistical skills. * Experience with machine learning algorithms ...

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All JobsData Science JobsNo Experience Data Science JobsNo Experience Data Science Jobs in Springfield, VA

No Experience Data Science information

See Springfield, VA salary details

$39.2K

$128.2K

$205.3K

How much do no experience data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for no experience data science in Springfield, VA is $128,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a no experience data science job?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

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 No Experience Data Science jobs in Springfield, VA?

For No Experience Data Science jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching No Experience Data Science jobs in Springfield, VA look for?

The top searched job categories for No Experience Data Science jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for No Experience Data Science jobs?

Cities near Springfield, VA with the most No Experience Data Science job openings:

No Experience Data Science jobs near you
Infographic showing various No Experience Data Science job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $128,203 per year, or $61.6 per hour.

Data Scientist

Base-2 Solutions, LLC

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 hours ago

Job description

  • Requisition ID: 3543
  • Standard Title:
  • Required Security Clearance: Top Secret/SCI
  • Location: Bethesda, MD
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Position Summary
Base-2 Solutions is seeking a Data Scientist to perform research-level data analytics at a customer site in Bethesda, MD. The role supports programs advancing research and advanced machine learning, natural language processing, and data fusion applications for mission-focused big data analytics. The Data Scientist will work as part of a research-focused team to advance national security objectives, analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.
Essential Duties and Responsibilities
  • Work closely with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform.
  • Analyze a variety of big data covering national security, cybersecurity, business intelligence, online social media, human behavior, and more.
  • Support multiple simultaneous projects, independently and collaboratively making mission-relevant discoveries and delivering findings to non-technical audiences.
  • Identify novel data sources to improve predictive algorithms and encourage user adoption of data analytics platforms.
  • Leverage expertise in research design, exploratory analysis, quantitative methods, user interface application design, and customer outreach and engagement.
Required Qualifications
  • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
  • Experience in data science, analytics, or quantitative intelligence analysis with progressive technical development and outcomes.
  • Proficiency in one or more scripting languages such as Python.
  • Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift.
  • Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL).
  • Experience working with hybrid teams of analysts, engineers, and developers to conduct research and build and deploy complex but user-friendly algorithms and analytical platforms.
  • Previous experience performing Data Science or Research in data analytics or big data that does not fit in memory.
  • Track record of active learning and creative problem solving.
  • Ability to analyze and assess software development or data acquisition requirements and determine cost-effective solutions.
  • Familiarity with git or other version control technologies.
  • Ability to own work and complete tasks on time with little or no supervision.
Preferred Qualifications
  • Significant data analytics experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes.
  • Experience with at least two of the following data classes: forensic media (DOMEX), open source publicly available information (PAI), measurement and signatures intelligence (MASINT), or cybersecurity and cyber forensics.
  • Experience with Knowledge Graphs and related technologies such as neo4j or graph machine learning.
  • Experience developing predictive algorithms, image classifiers, and object detectors.
  • Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life analysis, natural language processing, social media analysis, classification algorithms, and/or image processing.
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in unconventional ways.
  • Experience with on-premises air-gapped environments and/or Amazon Web Services (AWS/C2S).
  • Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs.
Required Education and Experience Equivalency
  • B.S. Degree in a quantitative or analytical field with 2+ years of experience.
  • Master's degree or equivalent graduate degree including certificate-based advanced training courses with Less than 2 years of experience.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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