{"id":2914785,"url":"https://alion.io/job/general-dynamics-information-technology-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4418,"name":"General Dynamics Information Technology","domain":"gdit.com","url":"https://alion.io/company/gdit","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":39,"ghost_share":0,"stale_share":0.41,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hurlburt Field, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":111155,"max":150385,"currency":"USD","period":"year","gross":null,"usd_annual":150385},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true},{"name":"Power Apps","optional":true},{"name":"Power Automate","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-27T10:21:54Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Type of Requisition:\nRegularClearance Level Must Currently Possess:\nTop SecretClearance Level Must Be Able to Obtain:\nTop Secret/SCIPublic Trust/Other Required:\nNoneJob Family:\nData Science and Data EngineeringJob Qualifications:\nSkills:\nDatasets, Predictive Modeling, Quantitative Analysis, Quantitative Methods, Statistical MethodsCertifications:\nNoneExperience:\n5 + years of related experienceUS Citizenship Required:\nYesJob Description:\nWe are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.\nGDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day.\nWe think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on Senior Data Scientist joining our team to support customer activities.\nThe Senior Data Scientist performs the full range of Data Scientist responsibilities with greater independence, depth, and breadth, and serves as a technical lead for analyses of enterprise significance. The Senior Data Scientist leads complex analytical projects, reviews the methods and results of Data Scientists, instructs others in data science practices and tools, and represents the data science team in technical discussions with Government leadership, researchers, and clinicians. The Senior Data Scientist and the Data Scientist share the same core responsibilities; the Senior Data Scientist is distinguished by additional experience or training and by the leadership responsibilities below.\nHOW A SENIOR DATA SCIENTIST WILL MAKE AN IMPACT:\nPerform all responsibilities of the Data Scientist labor category.\nLead analytical projects of enterprise scope, including analyses that support Government-directed evaluations of program efficacy, Return on Investment (ROI), and preventative risk factors; select methods, define validation approaches, and ensure results are defensible and reproducible.\nReview the analytical design, code, and results of Data Scientists for methodological soundness before delivery to the Government.\nInstruct and mentor Data Scientists and other contract personnel in data science practices, tools, and the Government-furnished technology stack.\nDevelop and maintain analytical standards, business rules, model assumptions, validation procedures, and reproducible methodologies for the data science team, in coordination with the Data Science Advisor.\nDesign, develop, and automate enterprise dashboards, executive scorecards, Key Performance Indicators (KPIs), Measures of Performance (MOPs), and Measures of Effectiveness (MOEs) as requested by the Government.\nAdvise Government personnel on the appropriate use, limitations, and interpretation of analytical products and models.\nWHAT YOU’LL NEED TO SUCCEED:\nEDUCATION:\nBachelor’s degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration, with documented coursework or professional application in statistics, programming, and quantitative analysis.\nMinimum of five (5) years of professional experience applying data science or statistical methods to real-world problems; or a Master’s degree in one of the disciplines listed above and a minimum of three (3) years of such experience. Degree-program work does not count toward the Senior Data Scientist experience requirement.\nMeet all qualifications of the Data Scientist labor category, with proficiency demonstrated through professional work experience rather than degree-program projects alone.\nAdvanced proficiency in Python or R, with disciplined software practices (modular code, testing, version control), and in SQL.\nDemonstrated experience developing, validating, and delivering statistical or predictive models that informed organizational decisions.\nDemonstrated experience leading analytical projects and reviewing or mentoring the work of other analysts.\nDemonstrated knowledge of experimental or quasi-experimental design, causal inference, or program-evaluation methods used to evaluate intervention effectiveness.\nPREFERRED EXPERIENCE:\nMaster’s degree in one of the disciplines listed above.\nExperience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system, and with NLP and LLM use cases.\nFamiliarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry.\nExperience with human performance, sports science, health, clinical, or biomedical data.\n A history of peer-reviewed publications or conference presentations.\nLOCATION: Various CONUS SITES\nCLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.\nThis is a contingent posting, expected to start in 2027.\nGDIT IS YOUR PLACE:\n401K with company match\nComprehensive health and wellness packages\nInternal mobility team dedicated to helping you own your career\nProfessional growth opportunities including paid education and certifications\nCutting-edge technology you can learn from\nRest and recharge with paid vacation and holidays\nThe likely salary range for this position is $111,155 - $150,385. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:\n40Travel Required:\nLess than 10%Telecommuting Options:\nOnsite Work Location:\nUSA FL Hurlburt Field - 229 Cody Ave (FLC017)Additional Work Locations:\nUSA CA San Diego, USA NC Fort Bragg, USA WA Joint Base Lewis-McChordTotal Rewards at GDIT:\nOur benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.Our Identity Verification Process:\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","description_format":"text","description_chars":8568,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["401k plan","Growth opportunities","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","Digital Government","IT Consulting & Digital Transformation","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-20T10:27:19Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 21 · green card filings: 4","filings_12m":21,"filings_prev_12m":30,"green_card_filings_12m":4,"median_offered_wage_usd":154900,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":6}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":0.9,"p_active":0.762,"p_room":0.55,"age_days":13,"expected_fill_days":10,"reasons":["conf:69","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":150385,"is_top_pay":true},"html_url":"https://alion.io/job/general-dynamics-information-technology-senior-data-scientist","json_url":"https://alion.io/job/general-dynamics-information-technology-senior-data-scientist.json","meta":{"generated_at":"2026-10-27T10:58:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12915,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4418},"rest":"https://alion.io/mcp/rest/get_company?id=4418"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-dynamics-information-technology-senior-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-dynamics-information-technology-senior-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-dynamics-information-technology-senior-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-dynamics-information-technology-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-dynamics-information-technology-senior-data-scientist"}]}