{"schemaVersion":"jobsearcher.job.v1","id":"2b6f3c8ce7bf7ff992cd0e72","url":"https://jobsearcher.com/jobs/2b6f3c8ce7bf7ff992cd0e72","canonicalUrl":"https://jobsearcher.com/jobs/2b6f3c8ce7bf7ff992cd0e72","title":"Junior Data Scientist","description":"Junior Data Scientist / Performance Data Analyst I\nLocation: Washington, DC / Hybrid / Government Facility as Required\nClearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred\nExperience Level: 1–3 years\nRole Summary\nThe 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.\nThis 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.\nKey Responsibilities\nCollect, clean, validate, and analyze structured and semi-structured program data.\nBuild SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.\nDevelop and maintain Tableau dashboards, visual reports, charts, and performance summaries.\nSupport data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.\nAssist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.\nTranslate complex datasets into clear summaries for non-technical stakeholders.\nDocument data sources, business rules, transformation logic, assumptions, and analytical methods.\nSupport recurring weekly, monthly, quarterly, and ad hoc reporting requirements.\nReview model outputs and error patterns to recommend improvements to analytical workflows.\nCollaborate with senior data scientists, program analysts, project managers, and government stakeholders.\nRequired Qualifications\nBachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.\n1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.\nHands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.\nR experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.\nSQL experience for querying, joining, filtering, and preparing datasets.\nTableau, Power BI, R Shiny, or similar dashboard/data visualization experience.\nExperience with machine learning classification, NLP, model evaluation, or predictive analytics.\nAbility to inspect model errors, validate outputs, and communicate improvement opportunities.\nStrong Excel and Microsoft Office skills.\nAbility to explain technical findings to non-technical stakeholders.\nU.S. citizenship and ability to obtain required federal suitability/clearance.\nPreferred Qualifications\nActive Secret clearance or prior federal suitability.\nExperience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.\nExperience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.\nExperience building client-facing dashboards or interactive data applications.\nExperience with BERT, NLP, unstructured text, topic segmentation, or terminology data.\nFamiliarity with data governance, data privacy, PII handling, CUI, or secure data environments.\nAWS, Git, Jupyter Notebook, or cloud analytics exposure.\nTools / Technologies\nPython, 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.\nzgeXJrIL38","company":"Aitherasll","rawCompany":"aitherasll","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-19T15:22:31.979Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"928110","title":"National Security","slug":"national-security"},{"code":"921190","title":"Other General Government Support","slug":"other-general-government-support"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Junior Data Scientist","description":"Junior Data Scientist / Performance Data Analyst I\nLocation: Washington, DC / Hybrid / Government Facility as Required\nClearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred\nExperience Level: 1–3 years\nRole Summary\nThe 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.\nThis 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.\nKey Responsibilities\nCollect, clean, validate, and analyze structured and semi-structured program data.\nBuild SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.\nDevelop and maintain Tableau dashboards, visual reports, charts, and performance summaries.\nSupport data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.\nAssist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.\nTranslate complex datasets into clear summaries for non-technical stakeholders.\nDocument data sources, business rules, transformation logic, assumptions, and analytical methods.\nSupport recurring weekly, monthly, quarterly, and ad hoc reporting requirements.\nReview model outputs and error patterns to recommend improvements to analytical workflows.\nCollaborate with senior data scientists, program analysts, project managers, and government stakeholders.\nRequired Qualifications\nBachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.\n1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.\nHands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.\nR experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.\nSQL experience for querying, joining, filtering, and preparing datasets.\nTableau, Power BI, R Shiny, or similar dashboard/data visualization experience.\nExperience with machine learning classification, NLP, model evaluation, or predictive analytics.\nAbility to inspect model errors, validate outputs, and communicate improvement opportunities.\nStrong Excel and Microsoft Office skills.\nAbility to explain technical findings to non-technical stakeholders.\nU.S. citizenship and ability to obtain required federal suitability/clearance.\nPreferred Qualifications\nActive Secret clearance or prior federal suitability.\nExperience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.\nExperience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.\nExperience building client-facing dashboards or interactive data applications.\nExperience with BERT, NLP, unstructured text, topic segmentation, or terminology data.\nFamiliarity with data governance, data privacy, PII handling, CUI, or secure data environments.\nAWS, Git, Jupyter Notebook, or cloud analytics exposure.\nTools / Technologies\nPython, 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.\nzgeXJrIL38","datePosted":"2026-07-19T15:22:31.979Z","dateModified":"2026-07-19T15:22:31.979Z","hiringOrganization":{"@type":"Organization","name":"Aitherasll","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2b6f3c8ce7bf7ff992cd0e72"},"url":"https://jobsearcher.com/jobs/2b6f3c8ce7bf7ff992cd0e72"}}