{"id":688845,"url":"https://alion.io/job/fantomcorp-data-scientist","title":"Data Scientist","company":{"id":673180,"name":"Fantom Corporation","domain":"fantomcorp.com","url":"https://alion.io/company/fantomcorp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"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":null,"salary_estimate":{"min_usd":97000,"max_usd":186000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Confluence","optional":false},{"name":"GitHub","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-26T15:01:11Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-11-01T17:59:09Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.\nWe are seeking a Data Scientist to support complex business and mission analytics through data analysis, visualization, validation, and statistical modeling. This position will work with structured and unstructured data from multiple sources to identify patterns, trends, and relationships and transform those findings into actionable insights.\nThe ideal candidate will have hands-on experience with Power BI, Python, Power Query, SQL, and Excel and be comfortable translating ambiguous customer requirements into clear analytical solutions.\nResponsibilities\nPerform qualitative, quantitative, statistical, and business data analysis\nCollect, transform, manipulate, validate, and combine structured and unstructured data from multiple sources\nDevelop dashboards, visualizations, mockups, and analytical products using Power BI\nUse Python, SQL, Power Query, and Excel to prepare and analyze data\nInterpret data models and work with a variety of data sources and structures\nApply mathematical and statistical techniques to identify trends, patterns, and relationships\nTranslate customer requirements and business questions into analytical or system specifications\nWork directly with customers to define requirements and resolve data-related questions\nDocument analytical processes, workflows, methodologies, and results\nPresent analytical findings clearly to technical and non-technical stakeholders\nManage multiple analytical tasks independently and within collaborative teams\nRequired Qualifications\nMust be fully cleared with a recent polygraph\n Must be willing and able to work fully onsite at the location listed in this posting\nExperience in at least two of the following areas: business analytics, statistics, data verification/validation, or data visualization\nExperience applying qualitative and quantitative analytical methods to business problems\nStrong experience with Power BI and data visualization\nExperience transforming and manipulating data using Python\nExperience with Power Query, SQL, and Microsoft Excel\nExperience interpreting data models and working with multiple data sources and structures\nExperience developing visualization prototypes and presenting analytical products\nExperience translating customer requirements into project or system specifications\nStrong analytical, critical-thinking, communication, and interpersonal skills\nAbility to independently break down ambiguous problems into actionable plans\nDesired Qualifications\nExperience working with technical mission data involving collection, processing, analysis, or dissemination\nExperience with Intelligence Community business or mission data, applications, or database structures\nKnowledge of secure data handling procedures\nExperience with Jupyter, Visio, SharePoint, or Confluence\nExperience working with APIs\nExperience with GitHub or similar version control platforms\nExperience using R\nBachelor’s degree in Business Analytics, Statistics, Data Analytics, Computer Science, Information Systems, or a related field, or four (4) years of relevant data analysis experience within the Intelligence Community or 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