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<br><h4>Overview</h4><p>LMI seeks an experienced Energy Data Analyst to support, improve and expand energy efficiencies and capabilities for a current Federal client.&nbsp;</p><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research, modernization strategies, and cloud services. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.</p><h4>Responsibilities</h4><ul><li>Assess, analyze current and future concepts of operation, campaign and operational plans, force structure to inform energy related policy and resourcing decisions, to include requirement demands, sustainment capabilities, threats to US/allies/partners energy and energy logistics assets, and potential mitigation options.</li><li>Support the client with analysis of energy use, distribution, generation, storage, and management; the execution and/or review of energy supportability analyses as part of the Energy Key Performance Parameter (KPP) and the Joint Capabilities Integration and Development System (JCIDS).</li><li>Conduct statistical modeling of fuel and power requirements for steady state and warfighting scenarios, and review the bulk fuel and power supportability and feasibility of theater posture, operation plans, concept plans, and installations.&nbsp;</li><li>Apply operations research and other data analytical methods to facilitate decision making and justify resource allocation.</li><li>Provide support for the transition of the client to become a data-driven organization.</li><li>Perform in-depth analysis to facilitate informed decision making and policy development.</li><li>Provide support and direct&nbsp;development for data collection, data quality assurance, and in-depth analysis related to installation and operational energy.</li><li>Support the management and development of the Annual Energy Management Performance, and Resilience, and Readiness (AEPRR) Report. This includes leading working group meetings throughout the year, preparing data calls, collecting and curating data, developing spreadsheets, integrating data from multiple stakeholders, analyzing results, developing charts and graphics, drafting, coordinating and preparing the final report for publication.</li><li>Maintain spreadsheets and databases in Microsoft Excel, Microsoft PowerBI, or other tools, as needed – proficiency in MS Excel is mandatory.</li><li>Provide programmatic and policy support for initiatives that improve and automate data collection processes including development and calculation of metrics to show progress and models to support analysis.</li><li>Provide programmatic and policy support for initiatives to improve data analytic capabilities for installation energy and operational energy.</li><li>Provide programmatic and policy support for initiatives that support the increased implementation of metering, software upgrades, and optimized sensors and controls to increase energy visibility and functionality and facilitate data-informed energy management decision-making.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s Degree or higher in: Operations Research, Engineering, Mathematics, Economics or Management Science, or 10 or more years’ commensurate professional experience in DoD Engineering (Systems or Energy Engineering Field) or DoD Operations Research or more years analytic experience.</li><li>Experience programming/developing and deploying DoD-oriented models and simulations for analytic wargaming and/or operational research.</li><li>Knowledge of DoD organizations and structures.</li><li>Knowledge and understanding of, and practical experience in, the application of quality management techniques.</li><li>Clearance: TOP SECRET (SCI eligible)</li></ul><p>Target salary range: $74,000 - $130,000</p><p>Disclaimer:&nbsp;</p><p>The salary range displayed&nbsp;represents&nbsp;the typical salary range for this position and is not a guarantee of compensation. Individual salaries are&nbsp;determined&nbsp;by&nbsp;various factors&nbsp;including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

DoD Energy Data Analyst - Clearance Required

<br><h4>Overview</h4><h4>LMI: Innovation at the Pace of Need™</h4><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><p>LMI has been named a 2024 Campus Forward Award Winner! This Award recognizes excellence in early career hiring, celebrating the teams that embrace innovative recruiting strategies, care deeply about the candidate experience, are making significant investments in DEIA, and are supporting the next generation of talent through impactful internships and entry-level programs.</p><p>This role is dedicated to bolstering our Advanced Analytics &amp; AI practice. <strong>Our existing operational framework accommodates remote work with the ability to work onsite in Tysons, VA as needed</strong>.</p><h4>Responsibilities</h4><ul><li>Analyzing complex processes from an enterprise perspective.&nbsp;&nbsp;</li><li>Assessing operations, identifying opportunities for enhancement, and developing solutions.</li><li>Evaluating alternative concepts using mathematical models, simulation tools, and supply chain theory.</li><li>Documenting functional capability requirements for subsequent use as the basis for software development.</li><li>Conducting and documenting results from functional software tests.</li><li>Performing studies and analyses and generating technical documentation of the results.</li><li>Creating and presenting briefings to communicate findings and recommendations</li></ul><h4>Qualifications</h4><ul><li><strong>Current enrollment in a degree seeking program at an HBCU required</strong></li><li>Availability to work full-time for at least 10-12 weeks for summer 2025</li><li>Must be available starting at the end of May 2025</li><li>Pursuing a major in Engineering, Modeling &amp; Simulation, Computer Science, Industrial Engineering, Math, Operations Research, Business Administration, or related fields.</li><li>Basic proficiency with a variety of data analysis tools, spreadsheets, and database programs.</li><li>Strong written and verbal communication skills, including the ability to compose and write a variety of internal and external documents, reports, and presentations.</li><li>Strong interpersonal and listening skills required, with ability to develop and maintain professional relationships within LMI and with its clients.</li><li>Ability to contribute to a professional work environment by demonstrating integrity, promoting teamwork, and fostering positive communication.</li><li>Strong problem solving, time-management, and organizational skills.</li><li>Strong planning skills and the ability to coordinate and prioritize assignments with minimum supervision. Must be self-directed and detail oriented in completing assigned tasks and projects.</li><li>Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance.</li></ul><p><strong>DESIRED QUALIFICATIONS/SKILLS</strong></p><ul><li>Experience working with Microsoft Excel and Access.</li></ul><ul><li>Experience with Visual Basic for Applications and Java is highly desirable.&nbsp;</li></ul><ul><li>Programming experience—ability to program and learn new programming languages quickly.</li></ul><br><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Science Intern - Summer 2025 (HBCU Students)

<br><h4>Overview</h4><p>LMI is seeking a <strong>Senior</strong><strong>Data Scientist</strong> to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Senior Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Senior Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission.&nbsp;</p><h4>Responsibilities</h4><ul><li>Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala);&nbsp;</li><li>Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges;&nbsp;</li><li>Query databases using SQL with structured data and perform statistical analysis;&nbsp;</li><li>Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and&nbsp;</li><li>Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations;</li><li>Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools;&nbsp;</li><li>Think strategically about how to publish data visualizations and present analytic results;&nbsp;</li><li>Support business decisions with ad hoc analysis;&nbsp;</li></ul><h4>Qualifications</h4><ul><li>3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community.&nbsp;</li><li>3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory.&nbsp;</li><li>3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods.&nbsp;</li><li>Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization.&nbsp;</li><li>Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products. </li><li>Active TS/SCI with polygraph required.</li></ul><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Scientist - TS/SCI with Polygraph Required

<br><h4>Overview</h4><p>LMI is seeking a <strong>Data Scientist</strong> to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission.&nbsp;</p><h4>Responsibilities</h4><ul><li>Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala);&nbsp;</li><li>Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges;&nbsp;</li></ul><ul><li>Query databases using SQL with structured data and perform statistical analysis;&nbsp;</li><li>Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and&nbsp;</li><li>Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations.&nbsp;</li><li>Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools;&nbsp;</li><li>Think strategically about how to publish data visualizations and present analytic results;&nbsp;</li></ul><ul><li>Support business decisions with ad hoc analysis;&nbsp;</li></ul><h4>Qualifications</h4><ul><li>3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community.&nbsp;</li><li>3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory.&nbsp;</li><li>3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods.&nbsp;</li></ul><ul><li>Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization.&nbsp;</li><li>Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products.&nbsp;</li><li>Active TS/SCI with polygraph required.&nbsp;</li></ul><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Scientist - TS/SCI with Polygraph Required

<br><h4>Overview</h4><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.</p><h4>Responsibilities</h4><ul><li>Frame and scale data problems to analyze, visualize, and find data solutions.</li><li>Manipulate common data formats, including comma-delimited, text files, and JSON.</li><li>Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.</li><li>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.</li><li>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.</li></ul><h4>Qualifications</h4><ul><li>Pursuit of a bachelor’s degree from a HBCU or MSI in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline</li><li>Previous experience or internships at a government consulting or technology consulting firm is required</li><li>Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)</li><li>Experience creating meaningful data visualizations and interactive dashboards such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact</li><li>Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections</li><li>Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics; additional preferred qualifications include working with unstructured text and natural language processing</li><li>Superior communication skills, both oral and written</li></ul><p>Applicants for this position may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Please note that only US citizens are eligible to obtain security clearances.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Junior Data Scientist

<br><h4>Overview</h4><p>LMI is seeking a Senior Data Scientist in Arlington, VA to support the USSF Chief Technology and Innovation Office.</p><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><p>LMI has been named a 2024 #BestPlacestoWork in the United States by Built In! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!</p><p><em><strong>This position requires an active Secret clearance required.</strong></em></p><p>The Senior Data Scientist will help shape policy, strategy, and support services for data management and artificial intelligence/machine learning for the US Space Force CTIO. You will work as part of a team with other contractors, government civilians, and military personnel in an agile environment.</p><h4>Responsibilities</h4><p>The Senior Data Scientist duties may include:</p><ul><li>Support Agile project management over data activities, support development of a data management framework.</li><li>Define and execute techniques to integrate, consolidate, and structure data for analytical use.</li><li>Research, analyze, and document various technical approaches in data management and AI/ML.</li><li>Maintain data dictionaries IAW DoD and DAF policies and standards.</li><li>Develop briefing packages to communicate complex ideas to non-technical customers.</li><li>Support the development and coordination of policies and governance to employ digital tools, effectively manage data, and enhance the information technology infrastructure.</li><li>Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields.</li><li>Interact professionally with the government and government stakeholders.&nbsp;</li><li>Work directly with the customer to gather requirements and product feedback for future iterations.</li><li>Ability to troubleshoot problems and provide timely resolutions.</li></ul><h4>Qualifications</h4><p><strong>Minimum</strong></p><ul><li>10+ years of data science experience. </li><li>Superior communication skills, both oral and written. </li><li>Advanced proficiency in Python.</li><li>Experience in AI/ML</li><li>Knowledge of statistical/machine learning algorithms.</li><li>Skill in conducting queries and developing algorithms to analyze data structures.</li><li>Plan and conduct complex analytical, mathematical, and statistical research that informs operational requirements.</li><li>Proficient in MS Office Suite to include Word, PowerPoint, and Excel.</li><li>High energy, enthusiasm, tact, ability to effectively interact with senior executives from Government and industry. </li><li>Ability to create and foster a cooperative work environment.</li><li>Self-directed, detail oriented in completing assigned tasks, able to adapt to changing work efforts and manage impact of shifting priorities.</li><li>Availability for occasional travel.</li><li>Possess and maintain an active Top Secret U.S. Government security clearance. US Citizenship required.</li></ul><p><strong>Preferred</strong></p><ul><li>Feature analysis experience: understanding and manipulating the variables in a dataset to improve the performance of a machine learning model. </li><li>Experience with DoD data management or AI/ML policies and standards.</li><li>Familiarity with USSF missions</li><li>Possess and maintain an active Top Secret/SCI U.S. Government security clearance. </li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Scientist - Secret Required

<br><h4>Overview</h4><p>LMI currently has an opportunity for a Senior Data Scientist to support an Intelligence Community customer in the McLean area. The ideal candidate will identify opportunities for AI/ML and develop AI/ML models for intelligence analysis. This role involves researching, strategizing, developing, and deploying AI/ML models to enhance intelligence capabilities, streamline workflows, and support decision-making. <br><br></p><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.&nbsp;​</p><h4>Responsibilities</h4><p>The ideal candidate will identify opportunities for innovation and leverage advanced AI/ML techniques as a Senior Data Scientist for an Intelligence Community (IC) client providing thought leadership with current and future efforts. Key responsibilities include: &nbsp;</p><ul><li>Identify opportunities for AI/ML integration to enhance intelligence analysis and workflows. </li><li>Collaborate with stakeholders to understand their needs and identify potential AI/ML solutions. </li><li>Design and implement scalable AI/ML models for tasks such as information retrieval, natural language processing, predictive analytics, and automation.</li><li>Source and process large datasets from diverse sources.</li><li>Deploy AI/ML models into production environments and integrate with existing systems.</li><li>Monitor model performance and retrain models as needed.</li><li>Research and explore new AI/ML methodologies.</li><li>Work closely with intelligence analysts and other cross-functional teams to source requirements and implement AI/ML solutions effectively.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.</li><li>Minimum of 5 years of experience in data science, with a focus on AI/ML.</li><li>Proficiency in programming languages such as Python, R, or Java.</li><li>Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Strong understanding of data preprocessing, feature engineering, and model evaluation.</li><li>Proven track record of developing and deploying AI/ML models in a professional setting.</li><li>Excellent problem-solving skills and the ability to think critically about complex issues.</li><li>Strong ability to analyze and interpret large datasets.</li><li>Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Strong collaborative skills and the ability to work in a team-oriented environment.</li><li>Experience in the intelligence or defense sector is highly desirable.</li><li>TS/SCI with polygraph is required.</li></ul><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>LMI is seeking applicants for an environmental safety engineer position in the Northern Virginia/Washington, DC region. LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. This position will be providing direct client support within various client locations in the region.</p><h4>Responsibilities</h4><ul><li>Serve as a subject matter expert on environmental compliance issues affecting Government facilities</li><li>Draft policy statements, standard operating procedures, fact sheets, newsletter articles and other communications regarding current and future environmental regulations affecting the Government</li><li>Develop and/or review applicable environmental compliance and management plans</li><li>Review National Environmental Policy Act (NEPA) documentation and provide Facilities' project managers advice on NEPA applicability</li><li>Provide technical environmental regulatory assistance and guidance to facilitate environmental compliance with local, state and federal regulations</li><li>Conduct environmental compliance inspections/audits/evaluations as directed by the Government to ensure compliance with local, state and federal regulations and Presidential Executive Orders</li><li>Update and monitor environmental regulatory permits held by the Government</li><li>Develop and conduct environmental compliance training for Government employees and contractors</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Science or Engineering</li><li>Two (2) years of related experience</li></ul><p><strong>*This position requires an active TS/SCI with Polygraph clearance*</strong></p><h4>EEO Statement</h4><p><strong><em>LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.&nbsp;</em></strong></p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Environmental Safety Specialist - TS/SCI with Polygraph Required

<br><h4>Overview</h4><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.</p>LMI is seeking a skilled Data Scientist at our headquarters office in Tysons, VA (telework allowed). Successful LMI Data Scientist demonstrate competency in building data analytics processes in multiple frameworks such as Modeling and Simulation (M&amp;S) environments, and AI/ML algorithms, and communicating analysis results through informative reports, graphics, and visualizations. In addition, LMI Data Scientists have demonstrated experience in collaborating with other Data Scientist and with effective communication with clients.<br><h4>Responsibilities</h4><p>You will develop high end analytics and insight in support of our client’s mission to support logistics and supply chain processes for the Department of Defense (DoD). Representative responsibilities:</p><ul><li>Collaborate with an integrated team of LMI Data Scientists to analyze, integrate, and transform large sets of data into simplified, meaningful, and actionable trends and visualizations.</li><li>Build models using ML, rule-based, or traditional statistical methods.</li><li>Contribute to the development and maintenance of LMI’s logistics and supply simulation model.</li><li>Use data analytics to develop, populate, and analyze results of simulations and algorithms.</li><li>Understand business problems and opportunities in the context of the requirements and recommend solutions that enable achievement of reporting goals.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>3+ years of experience with C++ and Python coding languages</li><li>Proficient knowledge with Object-Oriented Programming (OOP) techniques.</li><li>Experience with version control software such as GIT.</li><li>Bachelor’s degree in computer science, engineering, data science, operations research, physics, mathematics, or a related discipline required. </li><li>Self-starter with the vision to independently identify opportunities for improvement through data analytics.&nbsp;</li><li>A true team player who maintains a positive attitude in a dynamic environment.</li><li>Demonstrated ability to understand technical concepts and structure research that simplify these concepts.</li><li>Current DoD Clearance.</li></ul><p>Desired:</p><ul><li>5+ years of experience with C++ and Python coding languages</li><li>Experience with supply chain or logistics modeling</li><li>Master’s Degree preferred</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Scientist - Clearance Required

<br><h4>Overview</h4><p>LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.</p><p>Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor.</p><h4>Responsibilities</h4><ul><li>Work with a project-based team comprised of staff and other contractors.</li><li>Work closely with the Sponsor to review and track data science requirements and provide regular status updates.</li><li>Consult with customers to determine present and future user needs for Sponsor consideration.</li><li>Utilize project management systems such as a Content Management System (CMS) (e.g. Wordpress), Confluence and JIRA to define and track requirements.</li><li>Engage frequently with customers and stakeholders to clearly explain the project status and results in both written and verbal or multimedia briefings.&nbsp; </li><li>Provide traceability within program documents and the overall computing environment and architecture.</li><li>Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor.</li><li>Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.</li><li>Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices.</li><li>Clean, parse and transform data from multiple file types into appropriate database architecture (e.g. SQL, noSQL, graph) which performs at scale.</li><li>Develop self-guided training curriculum which includes detailed Jupyter Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software. </li><li>Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices.</li></ul><h4>Qualifications</h4><h4>Required</h4><ul><li>Bachelor’s Degree in a quantitative discipline (e.g., related discipline)</li><li>Minimum 6-8 years experience</li><li>Demonstrated experience programming with Python.</li><li>Demonstrated experience with general Linux computing and advanced bash scripting.</li><li>Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS.</li><li>Demonstrated experience processing data sources containing structured or unstructured data.</li><li>Demonstrated experience developing data pipelines with NiFi to bring data into a central environment.</li><li>Demonstrated experience delivering results to stakeholders through written documentation and oral briefings.</li><li>Demonstrated experience using code repositories such as Git.</li><li>Demonstrated experience using Elastic and Kibana technologies.</li><li>Demonstrated experience working with multiple stakeholders.</li><li>Demonstrated experience documenting such artifacts as code, Python packages and methodologies.</li><li>Demonstrated experience using Jupyter Notebooks.</li><li>Demonstrated experience with machine learning techniques including natural language processing.</li><li>Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats.</li><li>Demonstrated experience developing tested, reusable and reproducible work.</li><li>Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics.</li><li>Must possess TS/SCI with polygraph.</li></ul><h4>Desired</h4><ul><li>Demonstrated experience with system configurations, development and design, specifically around enterprise systems.</li><li>Demonstrated experience communicating both verbally and in writing, when responding to emails, telephone calls and/or in person inquiries from organizational personnel.</li><li>Certification:<ul><li>ISACA Certified Information Security Manager (CISM)</li><li>ISACA Certified Information Systems Auditor (CISA)</li><li>ISC Certified Information Systems Security Professional (CISSP)</li><li>ISC Certified Cloud Security Professional (CCSP)</li><li>ISC Certified Authorization Professional (CAP)</li></ul></li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

21 Natural and Environmental Sciences Jobs in Washington, DC, USA