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Junior Data Scientist Jobs in Springfield, VA (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

AIToolboard

Data Scientist Level 3

Suitland, MD · On-site

$94.40 - $198.20/hr

This role requires leadership skills to mentor junior data scientists and a deep understanding of cloud computing platforms and AI tools.Responsibilities:\* Advanced Machine Learning: Apply deep ...

KBR, Inc

Data Scientist I

Arlington, VA · On-site

$80 - $100/hr

KBR seeks a Junior Data Scientist to support the CAPE Joint Data Support (JDS) Division. CAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting ...

Venturegloballng

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ...

Venture Global, Inc.

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ...

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All JobsData Scientist JobsJunior Data Scientist JobsJunior Data Scientist Jobs in Springfield, VA

Junior Data Scientist information

See Springfield, VA salary details

$39.2K

$128.4K

$205.5K

How much do junior data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for junior data scientist in Springfield, VA is $128,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

How do I become a junior data scientist?

To become a junior data scientist, you typically need a bachelor's degree in a related field such as computer science, statistics, or mathematics. Gaining skills in programming languages like Python or R, understanding data analysis, and familiarity with tools like SQL and machine learning frameworks are essential. Internships or entry-level projects can also help build practical experience.

What are the most commonly searched types of Data Scientist jobs in Springfield, VA?

The most popular types of Data Scientist jobs in Springfield, VA are:

What are popular job titles related to Junior Data Scientist jobs in Springfield, VA?

For Junior Data Scientist jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Junior Data Scientist jobs in Springfield, VA look for?

The top searched job categories for Junior Data Scientist jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Junior Data Scientist jobs?

Cities near Springfield, VA with the most Junior Data Scientist job openings:

Junior Data Scientist jobs near you
Infographic showing various Junior Data Scientist job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $128,384 per year, or $61.7 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 2 days ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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