{"id":3490212,"url":"https://alion.io/job/leidos-data-scientist-17","title":"Data Scientist","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":324,"ghost_share":0.003,"stale_share":0.892,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-11-05T05:54:30Z"}},"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":["Springfield, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":92300,"max":166850,"currency":"USD","period":"year","gross":null,"usd_annual":166850},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Computer Vision","optional":true},{"name":"Databricks","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Spark","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-05T05:19:33Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.\nJob Summary\nSenior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.\nKey Responsibilities\nLead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.\nDesign and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.\nExtract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.\nDevelop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.\nArchitect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.\nApply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.\nCollaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.\nEvaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.\nSupport data governance, security, compliance, and responsible AI practices within government mission environments.\nPrepare technical documentation, briefings, reports, white papers, and stakeholder presentations.\nAdvise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.\nRequired Technical Skills\nStatistical modeling and inference\nMachine learning and artificial intelligence\nPredictive analytics and forecasting\nData mining and pattern analysis\nFeature engineering and model evaluation\nData wrangling, integration, and transformation\nPython, R, SQL, and scientific computing libraries\nVisualization and dashboarding tools\nModel deployment, monitoring, and lifecycle support\nDocumentation, briefing development, and technical communication\nBasic Qualifications\nBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.\nMinimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.\nDemonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.\nDeep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.\nStrong programming experience in Python, R, SQL, or similar analytic languages.\nExperience working with large, complex, and potentially disparate datasets in enterprise environments.\nFamiliarity with model validation, explainability, bias assessment, and performance evaluation techniques.\nStrong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.\nActive TS/SCI with ability to be approved for a Poly\nPreferred Qualifications\nMaster’s degree or Ph.D. in a relevant quantitative or technical discipline.\nExperience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.\nExperience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.\nFamiliarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.\nExperience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.\nFamiliarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.\nKnowledge of data architecture, data engineering, and enterprise analytics ecosystems.\nExperience briefing senior government leadership and mission stakeholders.\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nOctober 28, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\nPay Range:\nPay Range $92,300.00 - $166,850.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":5759,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","C4ISR","Defense Manufacturing","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-29T23:14:50Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 50 · green card filings: 24","filings_12m":50,"filings_prev_12m":58,"green_card_filings_12m":24,"median_offered_wage_usd":124257,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":3}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":8,"expected_fill_days":28,"reasons":["conf:0","stale_co","evergreen","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":166850,"is_top_pay":false},"html_url":"https://alion.io/job/leidos-data-scientist-17","json_url":"https://alion.io/job/leidos-data-scientist-17.json","meta":{"generated_at":"2026-11-05T06:10:05Z","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":7594,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":7791},"rest":"https://alion.io/mcp/rest/get_company?id=7791"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleidos-data-scientist-17"},{"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%2Fleidos-data-scientist-17"},{"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%2Fleidos-data-scientist-17"},{"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/leidos-data-scientist-17\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-data-scientist-17"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3490212}},{"tool":"search_jobs","arguments":{"company":"leidos.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3490212},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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