{"id":22024,"url":"https://alion.io/job/spry-methods-inc-data-scientist-aiml-tssci-wpoly","title":"Data Scientist - AI/ML (TS/SCI w/Poly)","company":{"id":6239,"name":"Spry Methods","domain":"sprymethods.com","url":"https://alion.io/company/spry-methods-inc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Linthicum Heights, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":240000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"CentOS Stream","optional":true},{"name":"Linux","optional":true},{"name":"Ubuntu","optional":true},{"name":"Windows","optional":true}],"status":"closed","first_seen_at":"2026-07-07T14:35:05Z","employer_posted_date":"2026-07-07","last_verified_at":"2026-10-21T18:39:42Z","board_verified":false,"closed_at":"2026-10-21T18:39:42Z","days_open":106,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":106},"description":"Who We’re Looking For (Position Overview):\nSpry Methods is seeking an AI/ML Data Scientist to support Defensive Cyber Operations within a mission-focused environment. This role directly supports national security objectives by developing and deploying analytic capabilities that enable detection, analysis, and response to cyber threats.\nThe Data Scientist will work within an integrated team of engineers, analysts, and mission stakeholders to transform complex, high-volume data into actionable insights. The position emphasizes applied analytics, model deployment, and operational impact-moving beyond research to deliver solutions that support real-time cyber operations.\nWhat Your Day-To-Day Looks Like (Position Responsibilities):\nApply machine learning, statistical methods, and analytics to address cyber and intelligence-related challenges\nDesign, develop, and optimize models for pattern detection, classification, and anomaly identification\nIngest, transform, and integrate data from multiple sources to support analytic workflows\nBuild and maintain data pipelines and ensure data quality, consistency, and accessibility\nDeploy analytic models into production and monitor performance for continuous improvement\nCollaborate with analysts and operators to interpret results and refine analytic approaches\nTranslate technical findings into clear, actionable insights for stakeholders\nSupport rapid prototyping and delivery of new analytic capabilities in operational environments\nDocument data sources, models, and processes to ensure transparency and reproducibility\nStay current with emerging data science techniques and tools to enhance mission impact\nWhat You Need to Succeed (Minimum Requirements):\nActive TS/SCI clearance with polygraph \nBachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field\n\n8+ years of experience supporting data science, analytics, or cyber-related programs (or equivalent combination of education and experience)\n\n3+ years of experience supporting Defensive Cyber Operations environments\n\n3+ years of hands-on experience with machine learning and statistical modeling\n\nExperience evaluating, validating, and implementing analytic models in operational environments\n\nProficiency in one or more programming languages used for data analysis (e.g., Python, R)\n\nExperience using SQL or similar tools to manipulate and analyze data\n\nIdeally, You Also Have (Preferred Qualifications):\nExperience with:\nCloud environments (e.g., AWS)\nBig data platforms and distributed data processing\n\nCybersecurity frameworks, controls, or compliance requirements (e.g., STIGs, IAVAs)\n\nStrong technical background in:\n\nLinux (e.g., Ubuntu, CentOS, RHEL) and/or Windows environments\n\nVirtualized or hybrid infrastructure\n\nExperience with:\n\nJupyter Notebooks and interactive data analysis tools\n\nNetwork analysis and cyber data sets\n\nFamiliarity with:\n\nAutomation and scripting for analytic workflows\n\nSoftware development practices and collaboration with engineering teams","description_format":"text","description_chars":3025,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information 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