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Entry Level Data Science Jobs in Washington, DC (NOW HIRING)

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Strong fundamentals in Mathematics and Computer Science (algorithms) * You're proficient in least ...

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Strong fundamentals in Mathematics and Computer Science (algorithms) * You're proficient in least ...

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Full Stack Developers - $ - FS Poly

Reston, VA · On-site

$110 - $150/hr

  • Retirement

  • PTO

... Data Analytics, Data Science, and Cloud Computing for both government and commercial customers ... They have several openings for Full Stack Developers at all levels, from entry level to Senior with ...

New

Data Validation Risk - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kearney is currently seeking a Data Analyst to join our team ... Specifically seeking future or entry level candidates majoring Computer Science, Statistics ...

Showing results 41-60

Entry Level Data Science information

See Washington, DC salary details

$11

$21

$30

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

As of Aug 19, 2026, the average hourly pay for entry level data science in Washington, DC is $21.57, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $24.23 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Washington, DC?

The most popular types of Data Science jobs in Washington, DC are:

What are popular job titles related to Entry Level Data Science jobs in Washington, DC?

For Entry Level Data Science jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Washington, DC look for?

The top searched job categories for Entry Level Data Science jobs in Washington, DC are:

Infographic showing various Entry Level Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,868 per year, or $21.6 per hour.

Federal Associate Data Scientist 2027 with Security Clearance

IBM

Herndon, VA • On-site

$60K - $61K/yr

Other

Posted 11 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

123rd of 245 rated software companies


Job description

Come forge the future like an IBMer Ready to think boldly, work with some of the world's most recognized brands, and kick-start your career? Welcome to the IBM's Associate Program for university hires. From day one, you'll collaborate with global clients and contribute to projects that help organizations solve their toughest challenges across digital transformation, cloud strategy, AI adoption, and process redesign - working alongside a global cohort of diverse, ambitious peers. As an Associate, you'll have access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM's AI-driven learning platform - supported by coaches, mentors, and thriving professional communities across practices. IBM's culture of internal mobility means you'll have the freedom to explore new technologies, industries, and career paths as your interests evolve. Bring your curiosity. Grow your skills. Build what's next - like an IBMer. About the Team In this role, you will join IBM's US Federal team to deliver secure, mission-critical technology solutions for government agencies. You'll work with federal, state, and local clients while developing specialized expertise in government compliance and security standards. This role offers unique career growth in a high-demand sector where your contributions directly impact public services and government missions. Your role and responsibilities As a Federal Associate Data Scientist 2027 at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: * Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects
* Writing programs to cleanse and integrate data in an efficient and reusable manner
* Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
* Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
* Evaluating modelling results and communicating the results to technical and non-technical audiences. These positions are anticipated to start between March and August of 2027. Candidates must have the ability to obtain and maintain a Federal security clearance while in IBM Consulting-Federal. To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against. The below requirements are a guideline. If you have transferable skills we encourage you to apply to this role. Required education Bachelor's Degree Required technical and professional expertise * Strong fundamentals in Mathematics and Computer Science (algorithms) * You're proficient in least one of the statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab * You have a basic understanding of predictive/prescriptive modeling skills * You have strong technical and analytical abilities, a knack for driving impact and growth, and familiarity with programming/scripting in a language such as Java or Python * You're great at solving problems by looking at things differently, debugging, troubleshooting, and designing and implementing solutions to complex technical issues.
* Willing to travel 100%.

What IBM employees say

Pay

Benefits

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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