{"id":192365,"url":"https://alion.io/job/sosi-data-scientist-ii-2","title":"Data Scientist II","company":{"id":5998,"name":"SOSi","domain":"sosi.com","url":"https://alion.io/company/sosi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"C","score":58,"open_postings":222,"ghost_share":0.698,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":79679,"max":165488,"currency":"USD","period":"year","gross":null,"usd_annual":165488},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-09-02T17:56:32Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-28T07:46:54Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":55},"description":"Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.\n *Position is contingent upon contract award*\nSOSi is seeking a Data Scientist. The Data Scientist will provide data analysis services, including data graphics and dashboards, to help identify challenges and opportunities for the Sponsor's customers. In this role the Data Scientist will leverage coding skills and proficiency in Tableau to transform unstructured data into actionable insights, supporting customer decision-making related to production, resources and personnel.\nEssential Job Duties\nAssess the efficiency and accuracy of new data sources.\nPreprocess or clean structured and unstructured Sponsor data.\nAnalyze large amounts of raw data to provide insights.\nCreate, modify, and improve statistical and/or Al/ML models.\nDocument and communicate methods and findings using Sponsor's formats and templates, which could include authoring analytic publications in collaboration with Sponsor, producing ad-hoc reports,\nCreate data visualizations or interactives, developing applications and user Interfaces, delivering slideshow presentations or briefings, or documenting methods in Github.\nProvide technical education to staff on an ad-hoc basis.\nApply expertise in data-driven analytic techniques to identify and research the use of new quantitative and qualitative methods to augment Sponsor's existing methodological approaches to intelligence problems and communicate findings to wider audiences.\nBrief consumers -on applications of data-driven analysis and analytic methods to specific national security problems of concern to the consumer.\nRespond to COTR or GTM approved ad-hoc requests for tailor-made complex data-driven analysis, including preparing cables; memoranda, email, and graphics for Sponsor consumers.\n Minimum Requirements\nActive Top Secret clearance.\nDemonstrated professional experience with the following required tools, systems, services, and data types:DBeaver, PostGres SQL, MySQL, NoSQL, Mango and SQL to include using common table expressions, set operations, aggregated functions, and nested subqueries.\nPython or R, as well as a wide range of data analysis, data processing, statistical modeling, Al/ML, and visualization programming libraries.\nWorking with time-series data in performing time-series analysis using Sponsor's data or data from external sources.\nVersion control systems, such as Git.\nTableau to create and customize customer-facing graphics.\nCloud services from major providers, working with APls, and leveraging high-performance computing resources.\n\nPreferred Qualifications\nExperience Tableau Prep.\nUsing Splunk, including automated processes in the Sponsor’s environment.\nUsing Sponsor’s enterprise services, security controls, and data management practices.\n Work Environment\nOffice setting with a combination of desk work and meetings.\nOccasional remote work or telecommuting opportunities.\nPotential travel for conferences, training, or meetings with stakeholders.\nWorking at SOSi\nAll interested individuals will receive consideration and will not be discriminated against for any 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