{"id":963092,"url":"https://alion.io/job/lmisolutions-data-scientist-clearance-required","title":"Data Scientist - Clearance Required","company":{"id":721749,"name":"LMI","domain":"lmisolutions.com","url":"https://alion.io/company/lmisolutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125144,"max":195591,"currency":"USD","period":"year","gross":null,"usd_annual":195591},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-16T12:05:29Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-10-14T00:28:50Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Overview\nLMI is seeking a Data Scientist to support a Special Operations Command (SOCOM) mission partner with advanced analytics, predictive modeling, natural language processing, and artificial intelligence and machine learning (AI/ML) product development.\nThe Data Scientist will analyze complex historical and operational datasets, convert data into machine-learning-ready formats, identify trends and predictive features, develop and validate statistical and machine learning models, and provide decision-quality insights that support resource forecasting, operational planning, and modernization. This position will work as part of a cross-functional data science product team to develop, integrate, govern, sustain, and document mission-relevant applications, dashboards, models, and research products.\nLMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.\nLeveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and achieve mission success.\nThis position is on-site at Fort Bragg and requires an active Secret security clearance with the ability to obtain a Top Secret clearance.\nResponsibilities\nAnalyze historical operational records, program execution data, and related datasets to identify trends, relationships, anomalies, and key features for predictive modeling.\nClean, normalize, reconcile, label, and transform structured and unstructured data from multiple sources into traceable, machine-learning-ready datasets.\nDevelop, test, and refine predictive models to forecast resource consumption and annual rate projections with a maximum error margin of 1%.\nApply statistical analysis, feature engineering, time-series forecasting, regression, ensemble methods, and other appropriate techniques to improve model accuracy, reliability, explainability, and operational usefulness.\nEstablish model validation, back-testing, sensitivity analysis, error analysis, and performance-monitoring methods; document assumptions, limitations, risks, and sources of uncertainty.\nDevelop natural language processing and generative AI solutions, including large language models tailored to approved business, operational, and intelligence use cases.\nDevelop projects that automate or augment human cognitive workload and respond rapidly to emerging operational data and data science requirements.\nCollaborate with AI/ML engineers, data engineers, software developers, cybersecurity personnel, and mission stakeholders to integrate validated models and analytical outputs into secure web-based applications and enterprise workflows.\nSupport enterprise synchronization, integration, governance, security, sustainment, and adoption of data science and AI/ML products across multiple mission teams and stakeholder organizations.\nTranslate complex analytical findings into clear, actionable insights and recommendations for technical teams, program managers, operational users, and senior mission-partner leaders.\nDevelop and maintain customer-focused data science products, including applications, dashboards, analytical models, and research projects, through their full product life cycle.\nProduce analytical reports, dashboards, briefings, and decision-support products that communicate trends, insights, model performance metrics, and recommendations.\nMaintain comprehensive documentation of data sources, methodologies, feature definitions, model logic, validation results, system dependencies, workflows, and repeatable analytical processes.\nDevelop user guides, training materials, demonstrations, and knowledge-transfer products sufficient for a qualified practitioner to assume future operation and sustainment of the application or capability.\nProvide rapid-response analytical and product-level staff augmentation based on changes in mission priorities and the operational environment.\nQualifications\nRequired Qualifications\nActive Secret security clearance with the ability to obtain a Top Secret clearance.\nAbility to work on-site at Fort Bragg, North Carolina.\nBachelor’s degree in data science, statistics, mathematics, computer science, operations research, engineering, or a related quantitative field.\nFive or more years of professional experience applying data science, advanced analytics, statistical modeling, or machine learning to complex real-world problems.\nDemonstrated experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods.\nAdvanced proficiency with Python and SQL and practical experience with common data science and machine learning libraries; proficiency with R or a comparable analytical language may substitute where appropriate.\nStrong knowledge of statistical analysis, feature engineering, model selection, hyperparameter tuning, cross-validation, error analysis, and performance measurement.\nExperience preparing large, incomplete, inconsistent, structured, and unstructured datasets for repeatable analysis and model training.\nExperience with natural language processing, generative AI, large language models, or retrieval-augmented generation in an applied environment.\nAbility to evaluate model performance against stringent accuracy requirements and clearly communicate tradeoffs, risks, assumptions, and limitations.\nExperience producing technical documentation, analytical reports, dashboards, briefings, and recommendations for technical and non-technical stakeholders.\nStrong written and verbal communication skills and the ability to collaborate across data, engineering, software, security, governance, and operational teams.\nAbility to independently manage multiple priorities and deliver high-quality analytical products in a fast-paced, mission-focused environment.\nPreferred Qualifications\nMaster’s degree or doctorate in data science, statistics, mathematics, computer science, operations research, engineering, or a related quantitative field.\nExperience supporting SOCOM, U.S. Special Operations Forces, the Department of War, or another national security mission partner.\nExperience developing models for resource consumption, demand, readiness, utilization, program execution, or annual planning forecasts.\nExperience integrating analytical models into production web applications through APIs, services, containers, or reusable software components.\nFamiliarity with MLOps, DevSecOps, model monitoring, version control, automated testing, and continuous integration and continuous delivery practices.\nExperience with secure cloud analytics environments such as AWS GovCloud or Azure Government and data visualization platforms such as Power BI or Tableau.\nFamiliarity with Agile delivery methods and experience working in cross-functional product or software development teams.\nExperience supporting data governance, model governance, application sustainment, user adoption, and knowledge transfer for government data products.\nTarget Competencies\nMission Focus\nAnalytical Rigor\nTechnical Excellence\nProduct Ownership\nCollaboration and Stakeholder Engagement\nClear Communication\nAdaptability and Continuous Learning\nTarget Salary Range: $125,144 - $195,591\nDisclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.\nApplicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.\nJob Locations\nUS-NC-Fort Bragg","description_format":"text","description_chars":8316,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":true,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Military","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-09-16T12:05:29Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.694,"p_room":0.35,"age_days":26,"expected_fill_days":13,"reasons":["conf:2","velocity","win:tail","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":195591,"is_top_pay":true},"html_url":"https://alion.io/job/lmisolutions-data-scientist-clearance-required","json_url":"https://alion.io/job/lmisolutions-data-scientist-clearance-required.json","meta":{"generated_at":"2026-10-14T01:47:42Z","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":2620,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":721749},"rest":"https://alion.io/mcp/rest/get_company?id=721749"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flmisolutions-data-scientist-clearance-required"},{"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%2Flmisolutions-data-scientist-clearance-required"},{"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%2Flmisolutions-data-scientist-clearance-required"},{"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/lmisolutions-data-scientist-clearance-required\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmisolutions-data-scientist-clearance-required"}]}