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<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>

LMI Consulting, LLC

Senior Data Scientist - TS/SCI with Polygraph Required

<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 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><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from&nbsp;expertise&nbsp;in digital and analytic solutions,&nbsp;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&nbsp;logistics&nbsp;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;&nbsp;</p><p>LMI has been named a 2024&nbsp;#TopWorkplace in the United States by Top Workplaces! 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><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)</li><li>Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges</li><li>Query databases using SQL with structured data and perform statistical analysis</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</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</li><li>Think strategically about how to publish data visualizations and present analytic results</li><li>Support business decisions with ad hoc analysis</li></ul><h4>Qualifications</h4><ul><li>3-5 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community</li><li>3-5 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory</li><li>3-5 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods</li><li>Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization</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><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 a <strong>Full Performance</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 Full Performance 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 Full Performance 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.&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><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><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>

Full Performance Data Analyst/Scientist

<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. <strong>LMI was recently awarded the #1 spot on the Washington Post Top Workplaces list for 2021!&nbsp;</strong></p><p>This position is embedded within our Advanced Analytics &amp; AI practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.</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 data 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><strong>Active DoD Secret clearance</strong></li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline</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 using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js&nbsp;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>At least 1–4 years of experience in the field</li><li>Superior communication skills, both oral and written</li><li><strong>Preferred experience in the following areas:</strong><ul><li>DoD experience preferred</li><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics</li><li>Unstructured text and natural language processing</li><li>R, Python, SAS, or MATLAB</li><li>Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data affecting DoD operations</li><li>Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets</li><li>Supervising algorithm implementation in on-premise and cloud-based computing environments</li><li>Developing software to generate reports and visualizations that summarize data sets and provide data-driven insights</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions</li></ul></li></ul><p>#LI-SH1</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>

Junior Data Scientist (Secret Clearance Required)

<br><h4>Overview</h4><p>LMI, a consulting firm dedicated to powering a future-ready, high-performing government, is seeking a Senior Data Scientist to support an Intelligence Community client. This exciting opportunity will be located in the Northern VA area, where you will join our team of talented professionals in delivering integrated capabilities that incorporate emerging technologies, tailored to customers' unique mission needs.</p><p>LMI is seeking a Senior Data Scientist with advanced skills in data collection, cleaning, maintenance, analysis, representation, visualization, and reporting. The Senior Data Scientist should have experience with AI/ML, data algorithms, and predictive models, as well as experience using SQL Developer and Python to script the extraction and transformation of data.</p><p>At LMI, we have a dynamic community of data-centric practitioners who are passionate about delivering innovative solutions and driving mission success for our clients. As a Senior Data Scientist, you will have the opportunity to collaborate with a team of talented professionals both on client site and within the broader LMI Data Science Community on efforts that can include prototype development, Gen-AI applications, thought leadership, and other focus areas that emerge.&nbsp;</p><p>If you're a passionate and skilled data scientist, we encourage you to apply.</p><h4>Responsibilities</h4><ul><li>Coordinate requirements directly with the Sponsor and internal subject matter experts</li><li>Demonstrate the ability to 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 tools.</li><li>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client 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>Active TS/SCI clearance with Polygraph</li><li>8-10 years of data science experience and solid educational training in data science</li><li>Advanced skills in data collection, cleaning, maintenance; analysis; representation, visualization, and reporting</li><li>Advanced data visualization skills esp in Tableau</li><li>Experience with AI/ML, data algorithms, and predictive models</li><li>Advanced experience using SQL Developer and Python to script the extraction and transformation of data</li><li>Preferred experience with data engineering techniques – data infrastructure and data lake development</li><li>Familiarity with project management concepts and principles</li><li>Intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solution to complex problems</li><li>Strong analytical and critical thinking skills</li><li>Ability to leverage multiple data management tools to organize relevant information and make decisions</li><li>Ability to translate complex, technical findings into an easily understood narrative (i.e., tell a story with the data) in graphical, verbal, or written form</li><li>Ability to multitask and change focus quickly as demands change</li><li>Ability work collaboratively and effectively in a team environment</li><li>Ability to establish and maintain internal and external professional networks including subject matter experts, collectors, and decision makers that are necessary to carry out tasks or projects</li></ul><p>#LI-SH1</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>

Senior Data Scientist - TS/SCI with Polygraph

<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><p>We are currently seeking an innovative, experienced, and highly-skilled Data Scientist to join our growing Advanced Analytics &amp; AI team in Tysons, VA. In this role, you will create and develop custom solutions for our users in a collaborative, fast-paced, state-of-the art environment. To be successful in this role, you will be thorough, creative, and exceptionally well-skilled in all phases of the development lifecycle, with a passion for continued learning and collaboration.</p><p><strong>*This position is located in Tysons, VA and requires an active TS/SCI clearance*</strong></p><h4>Responsibilities</h4><p>The Data Scientist will:</p><ul><li>Demonstrate the ability to 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 tools.</li><li>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions.</li><li>Establish data science pipelines.</li><li>Develop, train, test, deploy, and sustain AI and machine learning models.</li><li>Leverage data patterns and other development methods to optimize code and reduce computational cost.</li><li>Develop front-end interfaces to facilitate usage of developed AI/ML solutions</li><li>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.</li></ul><h4>Qualifications</h4><ul><li><strong>Active&nbsp;TS/SCI clearance</strong></li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline strongly preferred. Master's degree in these disciplines preferred.&nbsp;</li><li>Experience working with Scala, Python, Java</li><li>5-10+ years of related experience required</li><li>Advanced data science experience required</li><li>Significant experience with databases</li><li>Experience and familiarity with Agile-Scrum software development</li><li>Experience gathering and decomposing requirements</li><li>Proven record of solution development and deployment</li><li>Familiarity with web based application development</li><li>Experience with testing, use case, and user stories</li><li>Outstanding communication skills, written and verbal</li><li>Highly-organized and able to manage multiple projects simultaneously</li><li>Team-player mentality with a positive attitude</li><li>Keen attention to detail and solid analytical skills</li><li>Able to articulate complex, abstract concepts concisely and effectively</li></ul><p>#LI-SH1</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>

Data Scientist active TS/SCI

<br><h4>Overview</h4><p>This position is embedded within our Data Analytics practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.</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.</p><h4>Responsibilities</h4><ul><li>Demonstrate the ability to 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 tools.</li><li>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client 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><strong>Active DoD Secret clearance required</strong></li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline</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 using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js&nbsp;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><strong>At least 5–10 years</strong> of experience in the field</li><li>Superior communication skills, both oral and written</li><li><strong>Preferred experience in the following areas:</strong><ul><li>DoD experience preferred</li><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics</li><li>Unstructured text and natural language processing</li><li>R, Python, SAS, or MATLAB</li><li>Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data affecting DoD operations</li><li>Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets</li><li>Supervising algorithm implementation in on-premise and cloud-based computing environments</li><li>Developing software to generate reports and visualizations that summarize data sets and provide data-driven insights</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions</li></ul></li></ul><p>#LI-SH1&nbsp;</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>

Data Scientist - 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>This position is embedded within our Advanced Analytics &amp; AI practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.</p><h4>Responsibilities</h4><p>This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:&nbsp;</p><ul><li>Frame and scale data problems to analyze, visualize, and find data solutions.&nbsp;</li><li>Manipulate common data formats, including comma-delimited, text files, and JSON.&nbsp;</li></ul><ul><li>Build robust, scalable data pipelines using big data technologies such as Spark to enable predictive and prescriptive modeling. &nbsp;</li><li>Develop and deploy modeling capabilities (e.g., simulation, machine learning, statistical forecasting).&nbsp;&nbsp;</li><li>Work with the technical lead on solutioning, timelines, and feasibility.&nbsp;</li><li>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.&nbsp;</li></ul><p>&nbsp;<br></p><h4>Qualifications</h4><p><strong>Required:</strong></p><ul><li><strong>Active DoD Secret clearance</strong>&nbsp;</li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline&nbsp;</li><li>Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), big data frameworks (Spark or PySpark), and associated data science libraries (scikit-learn)&nbsp;</li></ul><ul><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics&nbsp;&nbsp;</li><li>Experience developing and deploying modeling tools and capabilities&nbsp;</li><li>Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections&nbsp;</li><li>At least 10–15 years of experience in the field&nbsp;</li><li>Superior communication skills, both oral and written&nbsp;</li></ul><p><strong>Desired:</strong>&nbsp;</p><ul><li>DoD experience preferred&nbsp;</li><li>Unstructured text and natural language processing&nbsp;</li><li>Experience with Databricks, Qlik, and the Advana analytics platform&nbsp;</li><li>Previous experience working with supply chain or maintenance data or processes&nbsp;</li></ul><ul><li>Supervising algorithm implementation in on-premise and cloud-based computing environments&nbsp;</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions&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><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 - 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>

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