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Entry Level Junior Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Data Scientists, and Machine Learning engineers. Who Should Apply: Recent Computer science ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Data Scientists, and Machine Learning engineers. Who Should Apply: Recent Computer science ...

$55 - $85/hr

Junior data scientist AI engineer -Remote (Employer Name Not Available) Occupation: Data Scientists ... * entry-level software programmers * Java Full stack developers * Python/Java developers * Data ...

$86 - $94/hr

The Role The Jr. Data Scientist is a member of a highly motivated CAA Data team responsible for accelerating the creation of opportunity through the strategic use of data across the organization. The ...

New

Lentech is actively interviewing for a JUNIOR Data Scientist * 1+ years of experience in statistics, operations research, or advanced mathematics * Experience with R or Python * Experience using ...

Jr. Data Scientist

Los Angeles, CA · On-site

$86 - $94/hr

The Role The Jr. Data Scientist is a member of a highly motivated CAA Data team responsible for accelerating the creation of opportunity through the strategic use of data across the organization. The ...

New

$88 - $100/hr

The Role • • • • • • • • is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. In this role, you'll support data ...

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

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

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

Junior Data Scientist

Arlington, VA · On-site

$70 - $95/hr

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 ...

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love turning raw data into clear insights and thrive in a dynamic, collaborative environment, we'd love ...

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love turning raw data into clear insights and thrive in a dynamic, collaborative environment, we'd love ...

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Showing results 1-20

Entry Level Junior Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Sep 6, 2026, the average yearly pay for entry level junior data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an entry level junior data scientist do?

An Entry Level Junior Data Scientist assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They work closely with senior data scientists to learn data processing techniques, build simple models, and create visualizations. Their responsibilities often include supporting data-driven projects, preparing reports, and helping to identify trends or patterns in data. This role is ideal for individuals starting their careers in data science and looking to gain hands-on experience with real-world datasets.

What are the key skills and qualifications needed to thrive as an entry level junior data scientist, and why are they important?

To thrive as an Entry Level Junior Data Scientist, you need a solid understanding of statistics, programming (commonly in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools (like pandas, NumPy, or Excel), data visualization libraries, and basic machine learning frameworks is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and share insights clearly. These skills are crucial for transforming raw data into actionable information, enabling businesses to make informed decisions.

What are some common challenges faced by entry level junior data scientists in their first year on the job?

Entry level junior data scientists often encounter challenges such as adapting to real-world datasets that are messy or incomplete, learning how to communicate technical findings to non-technical stakeholders, and balancing multiple projects with tight deadlines. They may also need to quickly become proficient with new tools or programming languages specific to their organization. However, support from senior team members and opportunities for collaborative learning can help ease this transition and foster professional growth.

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

AspectEntry Level Junior Data ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; certifications optional
Work EnvironmentCollaborates with data scientists and engineers; focuses on modeling and analysisPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsRetail, marketing, finance, and consulting firms

While both roles analyze data, Entry Level Junior Data Scientists focus on building models and advanced analysis, often requiring programming skills. Data Analysts primarily interpret data through reports and visualizations. The roles overlap in data handling but differ in technical complexity and focus areas.

What cities are hiring for Entry Level Junior Data Scientist jobs?

Cities with the most Entry Level Junior Data Scientist job openings:

What are the most commonly searched types of Junior Data Scientist jobs?

The most popular types of Junior Data Scientist jobs are:

What states have the most Entry Level Junior Data Scientist jobs?

States with the most job openings for Entry Level Junior Data Scientist jobs include:

What job categories do people searching Entry Level Junior Data Scientist jobs look for?

The top searched job categories for Entry Level Junior Data Scientist jobs are:

Infographic showing various Entry Level Junior Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 16 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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