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Entrylevel Junior Data Scientist Jobs (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 ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and turning numbers into clear stories. In this friendly, creative team, you'll dive into data's mysteries ...

Lentech Inc

Junior Data Scientist

Fort George G Meade, MD · On-site

$131K - $140K/yr

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 ...

Lprs

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects. * Monitoring the performance of Junior Data Scientists and providing them with practical guidance ...

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 ...

Accenture Federal Services

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 ...

Accenture Federal Services

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 ...

Accenture LLP

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 ...

SteerBridge

Data Scientist Junior

Washington, DC · On-site

$95K/mo

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Junior Data Scientist will assist with preparing and analyzing data, developing automated workflows, and creating basic visualizations to support reporting and analytics. This position provides ...

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Entrylevel Junior Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entrylevel junior data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entrylevel 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 is the difference between Entrylevel Junior Data Scientist vs Data Analyst?

AspectEntrylevel Junior Data ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer internshipsBachelor's in Statistics, Mathematics, Business, or related field
Work EnvironmentCollaborates with data scientists and engineers; focuses on modeling and algorithmsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, startups, finance, healthcareRetail, marketing, finance, consulting

Entrylevel Junior Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data through reports and visualizations. While both roles require a strong foundation in statistics, Junior Data Scientists typically need more technical skills in coding and modeling, whereas Data Analysts focus on data interpretation and communication.

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Entrylevel Junior Data Scientist jobs near you

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 27 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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