{"id":1539922,"url":"https://alion.io/job/saic-cbrn-defense-data-scientist","title":"CBRN Defense Data Scientist","company":{"id":3844948,"name":"SAIC","domain":"eihu.fa.us8.oraclecloud","url":"https://alion.io/company/saic-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":276000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-30T14:58:21Z","employer_posted_date":null,"last_verified_at":"2026-09-30T14:58:21Z","board_verified":false,"closed_at":null,"days_open":27,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":27},"description":"Job ID 2617420Location Washington, DC, US\nDate Posted 2026-09-29\nCategory Information Technology\nSubcategory Data Scientist\nSchedule \n\nShift \n\nTravel \n\nMinimum Clearance Required\n\nClearance Level Must Be Able to Obtain \n\nPotential for Remote Work ORA_ON_SITE\nDescription\n Seeking a CBRN Defense Data Scientist. Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. Translates mission needs into an end-to-end analytical approach to achieve results. Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. Interprets the validity of results and communicates the meaning of those results. Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data. Follows a scientific approach to generate value from data, verifying results at each step. This position is on-site in Washington, DC.\nQualifications\n TYPICAL EDUCATION AND EXPERIENCE Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.\nTarget salary range . 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