{"id":3650367,"url":"https://alion.io/job/lmi-data-scientist-clearance-required-3","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":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"D3.js","optional":false},{"name":"Design of Experiments","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Plotly","optional":false},{"name":"Polars","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Recharts","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Seaborn","optional":false},{"name":"Statsmodels","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"JavaScript","optional":true},{"name":"NLP","optional":true},{"name":"React.js","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T23:57:34Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-08T17:48:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Overview\nLMI is seeking a skilled Data Scientist to join our team and contribute to developing innovative analytics capabilities in support of the Army's AI Integration Center (AI2C). This role focuses on building predictive models, surfacing data-driven insights, and translating complex analytical outputs into actionable recommendations that advance the Army's AI strategy. The ideal candidate brings strong foundations in predictive analytics and machine learning, with the ability to communicate findings clearly to both technical and non-technical stakeholders.\nThis position offers the opportunity to work at the intersection of data science and national defense-applying cutting-edge analytical methods to real-world Army challenges spanning talent management, equipment sustainment, recruiting, and training. Candidates should be self-directed, collaborative, and comfortable operating in a fast-paced, mission-driven environment.\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 outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.\nResponsibilities\nResponsibilities:\nDesign, develop, and deploy predictive and prescriptive models that support Army decision-making across sustainment, talent management, and recruiting domains\nDevelop, implement, and maintain analytical models and simulations to evaluate complex systems, operational processes, mission effectiveness, and alternative courses of action.\nDesign and execute discrete-event, agent-based, stochastic, and Monte Carlo simulations using Python libraries such as SimPy, Mesa, NumPy, and SciPy to assess system behavior, operational performance, and outcomes under uncertainty.\nApply operations research techniques, including mathematical programming, optimization, stochastic modeling, queuing theory, and decision analysis, to address complex operational and resource allocation challenges.\nFormulate and solve linear, nonlinear, integer, and mixed-integer optimization problems using Python packages such as Pyomo, PuLP, SciPy.optimize, OR-Tools, and CVXPY to evaluate scheduling, logistics, resource allocation, and operational planning alternatives.\nConduct quantitative trade studies, sensitivity analyses, scenario-based assessments, and what-if analyses to identify key performance drivers, evaluate operational alternatives, and inform decision-making.\nDevelop statistical and probabilistic models using NumPy, SciPy, pandas, statsmodels, and PyMC to characterize system behavior, quantify uncertainty, and evaluate operational risks.\nDesign and execute computational experiments, including design of experiments (DOE), parameter sweeps, Monte Carlo analysis, and sensitivity testing, to assess model performance and robustness across operational scenarios.\nPerform model verification, validation, calibration, and uncertainty quantification using empirical data, statistical testing, and subject matter expertise to establish confidence in analytical results.\nIntegrate, transform, and analyze structured and unstructured data from multiple sources using pandas, NumPy, Polars, and associated Python data-processing libraries to support modeling, simulation, and optimization workflows.\nDevelop reusable, modular, and reproducible Python-based analytical tools and computational workflows, leveraging software development best practices, version control, automated testing, and documented methodologies.\nDevelop analytical visualizations, interactive dashboards, and decision-support tools using Matplotlib, Seaborn, Plotly, and Streamlit to communicate simulation outputs, optimization results, uncertainty, and operational tradeoffs.\nImplement monitoring, logging, and troubleshooting to ensure system reliability and availability\nSynthesize and communicate analytical findings, model assumptions, limitations, uncertainties, and actionable recommendations through technical documentation, reports, briefings, and presentations to technical and nontechnical decision-makers.\nBuild and maintain data pipelines and analytical workflows using Python, PySpark, and/or R, integrating with Army platforms such as Palantir Foundry and Army Vantage\nCollaborate closely with UX/UI designers and software developers to integrate data science capabilities into user-facing applications\nKnowledge of containerization tools (e.g. Docker, Docker-Compose, Kubernetes, etc.)\nProvide technical leadership and mentorship, growing team capabilities at the intersection of data science and mission-focused application development\nEngage with Army managers and subject matter experts to understand mission requirements, validate model assumptions, and build trust in analytical outputs\nDocument models, methodologies, and analytic processes in accordance with Army and DoD standards\nPercentage of Travel Required: 10%\nQualifications\nMinimum Qualifications:\nBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a related quantitative field, or equivalent work experience\n3-5 years of experience in data science or applied analytics, with demonstrated focus on predictive modeling and machine learning\nProficiency in Python (pandas, numpy, scikit-learn, statsmodels) and/or R for data manipulation, statistical analysis, and model development\nExperience building and validating supervised and unsupervised ML models (regression, classification, clustering, time-series forecasting)\nExperience with data visualization tools and libraries (Plotly, D3.js, Recharts, Tableau, or similar) to communicate analytical findings effectively\nExperience with Palantir Foundry or comparable enterprise data platforms for data integration, pipeline development, and application support\nFamiliarity with Git, Agile methodologies, and collaborative development practices\nAbility to communicate complex analytical concepts clearly to non-technical stakeholders and influence decisions through data\nActive Secret Clearance required\nAdditional Preferred Qualifications:\nKnowledge of Natural Language Processing (NLP) techniques and applications\nHands-on deployment experience across multiple environments and platforms\nBackground working in strategic planning or consultant environments supporting government or DoD clients\nProven track record of expanding technical scope or footprint with government customers\nKnowledge of the Army software development process and its technologies.\n7+ years of directly related experience.\nFamiliarity with human-centered design principles and integrating analytical outputs into user-facing applications\nMaster’s degree in Computer Science, Software Engineering, Information Systems, or related field.\nTarget Salary Range: $130,000 - $180,000\nDisclaimer:\nThe 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.\nJob Locations\nUS-PA-Pittsburgh","description_format":"text","description_chars":7751,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-11-02T23:57:34Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":17,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":true},"html_url":"https://alion.io/job/lmi-data-scientist-clearance-required-3","json_url":"https://alion.io/job/lmi-data-scientist-clearance-required-3.json","meta":{"generated_at":"2026-11-08T19:52:16Z","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":41544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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%2Flmi-data-scientist-clearance-required-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Flmi-data-scientist-clearance-required-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Flmi-data-scientist-clearance-required-3"},{"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/lmi-data-scientist-clearance-required-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmi-data-scientist-clearance-required-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3650367}},{"tool":"search_jobs","arguments":{"company":"lmisolutions.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3650367},"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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