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Entry Level Data Scientist Jobs in Washington (NOW HIRING)

IBM

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

Your role and responsibilities As a Federal Associate Data Scientist 2027 at IBM, you will work to ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

... 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 ...

Peraton

Image Scientist (Entry-level)

Springfield, VA

$80K - $128K/yr

... 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 ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

... 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 ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Washington

Entry Level Data Scientist information

See Washington salary details

$52.1K

$186.9K

$275.8K

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

As of Aug 23, 2026, the average yearly pay for entry level data scientist in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

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.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
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What are the most commonly searched types of Data Scientist jobs in Washington?

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Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Data Engineer - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Dayton, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.    

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life: 
Despite the title of this role being “Data Engineer” (which sounds very specific), it is actually a great opportunity to demonstrate the diversity of your skills across the data science spectrum. From procurement, consolidation, and cleansing to modeling and presentation, you will influence and add value in several areas across the data science life cycle in order to answer mission and business questions. Subject areas include but are not limited to the following: 
  • Employ a variety of languages and tools (e.g., scripting languages) to integrate systems.  
  • Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions.
  • Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling.  
  • Explore and examine data for hidden patterns.  
  • Automate work through the use of predictive and prescriptive analytics.  
  • Develop processes to extract/transform/load (ETL) data between different systems.  

What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.   

All of our data scientists need the following skills:    

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:    

  • Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis
  • Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data

These are important skills to have, but not necessarily mandatory:    

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
  • Familiarity with Agile processes and structures, and able to work on a software development team

    

The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!