{"id":3626961,"url":"https://alion.io/job/anavation-data-scientist","title":"Data Scientist","company":{"id":5038,"name":"AnaVation","domain":"anavationllc.com","url":"https://alion.io/company/anavation","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":78,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0.25,"time_to_fill_p50_days":55,"computed_at":"2026-11-03T05:54:40Z"}},"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":["Fort Meade, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90360,"max":201581,"currency":"USD","period":"year","gross":null,"usd_annual":201581},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Streamlit","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Llama","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-11-02T15:48:22Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T05:18:21Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description of Task to be Performed:\nAnaVation is seeking a Data Scientist to support one of our cybersecurity programs in our National Capital Region office. The Data Scientist will develop and apply advanced data science capabilities to improve intelligence integration, data discoverability, and mission analytics in support of cyberspace mission requirements. The position will leverage statistical analysis, predictive modeling, entity resolution, graph analytics, explainable super intelligence (XSI), and operational analytics to extract actionable insights from complex, multi-source datasets across the Customer’s Enterprise.\nThe successful candidate will lead complex analytical efforts, develop and evaluate advanced algorithms and machine learning models, and collaborate with mission partners, software developers, data engineers, and technical leadership to translate mission requirements into scalable analytical solutions. The candidate will identify data integration and analytic capability gaps, improve data interoperability and discoverability, and deliver validated models, analytical applications, and decision-support products that enhance intelligence analysis and operational effectiveness.\nResponsibilities include:\nLead data science initiatives addressing complex intelligence integration, data exploitation, and cyberspacemission analytics requirements. \n\nApply advanced statistical analysis, predictive modeling, entity resolution, graph analytics, explainable SI, andoperational analytics to identify patterns, relationships, anomalies, and trends across complex datasets.\n\nDevelop, evaluate, and refine algorithms, machine learning models, analytical methods, and prototypes toaddress mission-specific intelligence and operational problems.\n\nAnalyze structured and unstructured data from multiple sources to assess data quality, relevance, utility, andsuitability for specific analytical and mission requirements.\n\nDesign and implement data processing, transformation, parsing, tagging, and interconnection methods thatimprove data usability, interoperability, and analytic readiness across heterogeneous data environments.\n\nDevelop data triage methodologies and analytical workflows that optimize data prioritization, normalization,enrichment, and integration across relevant intelligence domains.\n\nEvaluate data sources, formats, schemas, and structures to identify integration opportunities, resolve datacompatibility issues, and recommend approaches for improving data sharing and analytical performance.\n\nDevelop and deploy data science applications, prototypes, proof-of-concept solutions, analytical tools, andinteractive visualizations that communicate complex findings and support mission decision-making.\n\nImplement reproducible analytical workflows using Python, PyTorch, Neo4j, Git, JIRA, and Streamlit, asappropriate to the solution and mission requirements.\n\nCollaborate with software developers, data engineers, platform engineers, and other technical personnel tointegrate analytical models and applications into operational workflows and existing systems.\n\nSupport the transition of selected analytical prototypes and models into production environments in coordinationwith engineering and platform teams, including appropriate testing, documentation, version control, and\ndeployment practices.\n\nIdentify opportunities to apply super intelligence, machine learning, automation, and advanced analytics toimprove intelligence processing, data exploitation, analytic efficiency, and operational effectiveness.\n\nProvide technical guidance and mentorship to other analysts and technical personnel, as appropriate, andcontribute to the development of analytical methodologies and best practices.\n\nPerform other related data science and technical support duties as assigned.\nRequired Qualifications:\nClearance: U.S. Citizen; TS/SCI w/ CI Poly\nEducation: Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.\n Certification: DoD 8140/8570 IAT Level II (GSEC, SSCP) or equivalent credential\nLocation: Full time on-site at Annapolis Junction, Maryland.\nExperience and knowledge:\n10+ years of experience across data science, advanced analytics, machine learning engineering, quantitativeanalysis, or related technical disciplines.\n\nExpert proficiency in Python for data analysis, algorithm development, machine learning, or analyticalapplication development.\n\nDemonstrated experience applying statistical analysis, machine learning, predictive modeling, or other advancedanalytical techniques to complex data and mission or business problems.\n\nDemonstrated experience developing, evaluating, and refining analytical algorithms, predictive models, ormachine learning solutions.\n\nDemonstrated experience using PyTorch to develop, train, evaluate, or implement machine learning models.\nDemonstrated experience with Neo4j or comparable knowledge graph technologies, including graph datamodeling, querying, or graph-based analysis.\n\nDemonstrated experience developing data science applications, analytical prototypes, or interactive analyticalinterfaces using Streamlit or equivalent hands-on Streamlit experience.\n\nDemonstrated experience using Git for version control and JIRA for technical work tracking, collaboration, orproject execution.\n\nExperience working with complex, heterogeneous datasets, including structured and unstructured data, anddeveloping methods to improve data quality, integration, interoperability, or analytical usability.\n\nDemonstrated understanding of model evaluation, validation, performance measurement, and the limitations ofstatistical and machine learning approaches.\n\nDemonstrated ability to translate complex mission requirements into analytical approaches, technical solutions,and measurable outcomes.\n\nExperience collaborating with multidisciplinary teams, including data scientists, software developers, engineers,analysts, and mission stakeholders, to research, develop, and implement analytical solutions.\n\nDemonstrated ability to communicate complex analytical findings, technical concepts, and model limitationsclearly to technical and nontechnical audiences.\n\nDemonstrated ability to work independently, exercise sound technical judgment, manage competing priorities,and deliver high-quality analytical products in a fast-paced environment.\n\nPreferred Qualifications:\nClearance: Active TS/SCI w/ CI Poly.\nEducation: Advanced degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.\n Certification: Relevant cloud, machine learning, data engineering, or Artificial Intelligence (AI) certifications. Additional relevant technical certifications supporting data science, analytics, cloud computing, or secure technologyenvironments.\n\n Experience and knowledge:\nExperience supporting Combatant Commands, Joint Staff, Service cyber components, Joint Forces Headquarters,Intelligence Community organizations, or other Defense Intelligence Enterprise mission partners.\n\nExperience deploying production-ready machine learning models or analytical applications in coordination withsoftware engineering, data engineering, or platform teams.\n\nFamiliarity with Docker, Kubernetes, containerized applications, and scalable model deployment architectures.\nExperience with cloud-based data science and SI services, including Amazon Web Services (AWS), AmazonBedrock, and Amazon S3\n\nExperience applying large language models (LLMs), multimodal SI, or other advanced SI techniques to dataanalysis, information extraction, data discovery, or intelligence integration problems.\n\nFamiliarity with Llama or comparable open-weight language models and their application in controlled ormission-specific environments.\n\nFamiliarity with JavaScript and complementary technologies used to develop or integrate interactive analyticalapplications.\n\nExperience working with large-scale, distributed, classified, or otherwise controlled data environment","description_format":"text","description_chars":8156,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","Intelligence","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-11-02T19:55:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":55,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":201581,"is_top_pay":true},"html_url":"https://alion.io/job/anavation-data-scientist","json_url":"https://alion.io/job/anavation-data-scientist.json","meta":{"generated_at":"2026-11-04T06:32:14Z","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":10204,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":5038},"rest":"https://alion.io/mcp/rest/get_company?id=5038"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanavation-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%2Fanavation-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%2Fanavation-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/anavation-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanavation-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3626961}},{"tool":"search_jobs","arguments":{"company":"anavationllc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3626961},"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. Docs: https://alion.io/developers"}}