field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

<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.&nbsp;</p><p>LMI is seeking a Senior Data Science Consultant to lead in developing, testing, and fielding advanced algorithms in support of a supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Leverage deep and broad knowledge of advanced data science concepts to streamline the curation and analysis of complex supply-chain data</li><li>Use knowledge of advanced topics in data science, such as active learning, semi-supervised learning, bias calculation, etc.</li><li>Write python, spark, and SQL code to prepare and analyze data in both research and production environments</li><li>Work closely with data engineers, UI developers, and subject matter experts to develop and deploy data science methods in support of an evolving software suite</li><li>Lead and execute on data science tasking in support of multiple teams, coordinating prioritization across them as needed</li><li>Rapidly spin up on new data science topics and methods as they become applicable to the project</li><li>Work comfortably in a Data Bricks environment, where most code is developed, tested, and deployed via notebooks</li><li>Quickly learn, and be excited to leverage, novel data science techniques to solve real-world challenges involving large scale, often messy data sets</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science, Data Science, or related field and/or equivalent work experience</li><li>5+ years of experience as a data scientist</li><li>Experience with:<ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li><li>Scikit-learn or similar python packages</li></ul></li><li>Highly effective analytical, conceptual, and problem-solving skills</li><li><strong>Active DoD Secret clearance required (Top Secret clearance desired)</strong></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>

LMI Consulting, LLC

Senior Data Science Consultant - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a seasoned Senior Data Science Consultant to design and implement a comprehensive test and evaluation (T&amp;E) strategy for a critical supply chain risk program for the Department of Defense.</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><h4>Responsibilities</h4><ul><li>Develop and implement a test and evaluation framework for both front end and back end components of an enterprise solution including data products, modeling products and UI</li><li>Implement a test harness to systematically assess and validate the functionality and performance of solution components</li><li>Collaborate with stakeholders to refine testing protocols, ensuring they align with operational requirements and customer priorities for supply chain risk management</li><li>Identify practical test and training data sets for each evaluation </li><li>Document test findings and provide actionable insights to improve the system's reliability and effectiveness in real-time operational settings</li><li>Spearhead the integration of T&amp;E methodologies into the ongoing development lifecycle to continuously adapt and enhance enterprise solution capabilities</li><li>Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem</li><li>Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks</li><li>Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements</li><li>Engage with cutting-edge data science techniques to address complex, large-scale data challenges</li></ul><h4>Qualifications</h4><ul><li>Bachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience</li><li>Minimum of 5 years’ experience in a data science capacity</li><li>Extensive experience applying Agile methodologies</li><li>Proven ability to design and execute test strategies that effectively assess complex software systems</li><li>Robust analytical, conceptual, and problem-solving skills</li><li><strong>Active DoD Secret clearance required; Top Secret clearance preferred&nbsp;</strong></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>

<br><h4>Overview</h4><p>LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.</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><h4>Responsibilities</h4><ul><li>Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components</li><li>Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs</li><li>Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow</li><li>Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches</li><li>Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions</li><li>Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem</li><li>Collaborate closely with peer technical leads to identify priorities, risks and solutions</li><li>Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks</li><li>Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements</li><li>Engage with cutting-edge data science techniques to address complex, large-scale data challenges</li></ul><h4>Qualifications</h4><ul><li>Bachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience</li><li>Minimum of 5 years’ experience in a data science capacity</li><li>Extensive experience applying Agile methodologies</li><li>Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing</li><li>Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python</li><li>Well-versed in using MLflow and comparable tools</li><li>Familiarity with Qlik, React or other data visualization platforms</li><li>Robust analytical, conceptual, and problem-solving skills</li><li><strong>Active DoD Secret clearance; Top Secret clearance preferred</strong></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>

Senior Data Modeling & Lead Data Scientist - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a data scientist to assist in developing, testing, and fielding algorithms in support of a supply chain risk program for the Department of Defense.</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><h4>Responsibilities</h4><ul><li>Write python, pySpark, and SQL code to prepare and analyze data</li><li>Leverage broad familiarity with data science concepts to help streamline analysis of supply chain-relevant data</li><li>Work closely with data engineers, UI developers, and subject matter experts to develop and deploy data science methods in support of an evolving software suite</li><li>Work comfortably in a Databricks environment, where most code is developed, tested, and deployed via notebooks</li><li>Execute on data science tasking in support of multiple teams, coordinating prioritization across them as needed</li><li>Quickly learn, and be excited to leverage, novel data science techniques to solve real-world challenges involving large scale, often messy data sets</li></ul><h4>Qualifications</h4><ul><li>Bachelor's degree in Computer Science or related field and/or equivalent work experience</li><li>3+ years of experience as a data scientist</li><li>Experience with:<ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li><li>Scikit-learn or similar python packages</li></ul></li><li>Effective analytical, conceptual, and problem-solving skills</li><li><strong>Active DoD Secret clearance required (Top Secret clearance highly desired)</strong></li><li>Part-time onsite client support in the Washington, DC metro area</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 Science Analyst - Clearance Required

<p><strong>Science Program Manager</strong></p><p></p><p><strong>The Organic Center</strong>&nbsp;is on a mission to convene and conduct credible, evidence-based science on the environmental and health benefits of organic food and farming and communicate the findings to broad audiences, focusing on consumer education. Our efforts enable consumers to make informed choices about the food they buy, backed by peer-reviewed science.&nbsp;</p><p>The Organic Center aims to engage and develop partnerships with research institutions, federal agencies, organic farmers, and food systems advocates working to improve agricultural systems. Our work serves as a resource for the public, industry, policymakers, scientists, and farmers on the science supporting sustainable organic food and farming to strengthen and expand organic practices and production that reduces the use of toxic, synthetic chemicals, offering clear benefits to human health and the environment.</p><p><strong>What you’ll do:</strong></p><p>We seek a Science Program Manager to manage scientific programs and outreach campaigns The Organic Center runs.&nbsp;</p><p><strong>You should have:</strong></p><ul><li>PhD (required) or Postdoctoral experience (preferred) in a field related to environmental, biological, agricultural, or ecological sciences.&nbsp;</li><li>Educational and/or professional experience and commitment to organic and sustainable agriculture and food systems</li><li>Experience in project coordination and budget management</li><li>Experience communicating scientific literature to a variety of audiences&nbsp;</li><li>Experience in management and mentoring of junior staff</li><li>Proven track record of successful grant acquisition</li></ul><ul><li>At least basic knowledge of organic farming and food production practices and National Organic Program regulations, with a preference for proficiency in these topics</li></ul><ul><li>Fluency in Spanish is preferred</li></ul><p></p><p><strong>Your responsibilities as the Science Program Manager will include:</strong></p><ul><li>Research Leadership: Oversee and manage a diverse range of scientific research projects and collaborations on organic agriculture.</li><li>Communication: Translate complex scientific information into accessible content for various public audiences.</li><li>Public Speaking: Present on organic science topics at webinars, trade shows, and conferences, with some travel required.</li><li>Report and Review: Lead the creation of topical reports and literature reviews on organic issues and edit scientific journal article summaries for consumers.</li><li>Relationship Building: Develop and maintain interdisciplinary relationships with researchers, farmers, and industry leaders to support projects and outreach.</li><li>Event Management: Support planning and execution of the annual "Organic Confluences" conference, including fundraising, program development, and speaker selection.</li></ul><ul><li>Grant Administration: Assist in grant applications and manage the Center’s grant program in partnership with the Foundation for Food &amp; Agriculture Research.</li></ul><p><strong>Best-in-Class Benefits and Perks:</strong></p><p>We value our employees’ time and efforts. Our commitment to your success is enhanced by competitive compensation of $65k -$75k annually, depending on experience, and an extensive benefits package including:</p><ul><li>Comprehensive health coverage: Medical, dental, and vision insurance provided</li><li>Robust retirement planning: 401(k) plan available with employer matching</li><li>Financial security: Life and disability insurance for added protection</li><li>Flexible financial options: Health savings and flexible spending accounts offered</li><li>Well-being and work-life balance: Paid time off, flexible schedule, and remote work choices provided</li></ul><p>Plus, we work to maintain the best environment for our employees, where people can learn and grow with the company. We strive to provide a collaborative, creative environment where everyone feels encouraged to contribute to our processes, decisions, planning, and culture.</p><p><strong>Let’s cultivate a healthier world together!</strong></p><p>Join us and be a catalyst for change in organic food and farming! If you’re ready to make a meaningful impact and be at the forefront of scientific discovery in organic food and farming, we want to hear from you!&nbsp;</p><p></p><p><em>We&nbsp;<em>do</em></em><em>not discriminate on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital/family status. Persons with disabilities who require alternative means of communicating program information should contact us.</em></p>

Insperity

Science Program Manager

<br><h4>Overview</h4><p>LMI seeks an experienced Senior Energy Engineer to provide engineering expertise and guidance that will improve and expand energy efficiencies and capabilities for a portfolio of facilities throughout their facilities lifecycle.&nbsp; The ideal candidate will be an electrical engineer who will be responsible for providing technical expertise in energy project development and implementation strategies to meet current and near-term Federal energy and facility standards. Candidates should be based in the mid-Atlantic region, preferably near the Washington DC area.</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>Support the client’s facility energy project development efforts and sustainability initiatives by acting as a senior technical advisor and subject matter expert for specific engineering matters.</li><li>Apply subject matter expertise to deliver solutions to engineering requirements for projects to include both new construction and maintenance and repair of existing real property.</li><li>Facilitate project meetings and communicate/collaborate with senior leadership, engineering subject matter experts (SMEs), project managers, architects, planning and budget staff, and facility managers about issues and solutions regarding project requirements.</li><li>Perform quality assurance reviews of design documents and engineering studies and provide associated technical recommendations</li><li>Engage with service providers, federal managers and program staff, national laboratories, private sector contractors and other stakeholders to identify facility energy requirements, perform gap analyses, and ensure the successful execution and delivery of engineering projects and work products.</li><li>Review project progress from an engineering perspective, measuring performance and taking necessary corrective actions to maintain agreed-upon requirements.</li><li>Travel to project sites at geographically dispersed locations nationwide as required to verify progress of work, ensure conformity with specifications and accepted engineering practices, attend program management reviews and contribute to technical teams as required.</li><li>Help manage existing ESPCs by working with energy services contractors to identify, plan, and implement energy efficiency, renewable energy, and water efficiency measures at sites across the client portfolio. </li><li>Track and manage legacy third party finance projects, including annual measurement and verification (M&amp;V) reporting compliance and technical support for several existing energy performance contracts.</li><li>Help identify, pursue, and apply appropriate financing methods (ESPC, ESPC ENABLE, UESCs), grants (AFFECT), and Federal appropriations to execute energy projects and facility improvements that result in significant energy savings, and/or energy demand reductions.</li><li>Track inventory and manage performance of existing renewable energy systems portfolio. Provide technical and planning support for renewable energy systems not managed under active performance contracts.</li><li>Draft executive summary reports and white papers for sustainability/energy data as needed which may include white papers, standard operating procedures (SOPs), briefings, feasibility studies, research summaries, position papers, and similar analytical products in support of the client.</li><li>Prepare, review, and analyze sustainable energy project and market reports and conduct energy, environmental, and economic benefits analysis of sustainable energy technologies and projects.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree or higher in Engineering (Civil, Electrical, Mechanical, or General) or related field. Master’s degree preferred.</li><li>8+ years of energy project management experience, demonstrated experience in energy projects</li><li>Experience with energy investments projects such as performance contracting (ESPS, UESCs) and/or grants.</li><li>Experience in analysis of energy consumption, energy rates, and life cycle cost analysis.</li><li>Familiarity with all and expertise in at least one of the following<ul><li>Renewable energy technologies, such as solar, wind, geothermal, hydro, or biomass</li><li>Electrical distribution infrastructure technologies</li><li>Energy storage technologies</li><li>Energy resilience and security system technologies</li><li>Utility control system technologies</li><li>Guiding Principles for Sustainable Federal Buildings</li></ul></li><li>Proficiency with software tools for research, analysis, reporting, communications, and collaboration (e.g., Microsoft Office suite, to include Power BI and SharePoint, and proprietary government real property systems and applications)</li><li>Federal or utility energy or sustainability experience preferred.</li><li>Strong candidate will be able to demonstrate experience in working with multiple stakeholders and building consensus</li><li>The candidate shall have consultative capabilities with strong communication and organizational skills</li><li>Experience in managing simultaneously, multiple projects with independent schedules and budgets</li><li>Project Management Professional (PMP) preferred but not required.</li><li>Moderate travel within the CONUS will be required.</li><li>Must be eligible for a U.S. security clearance; US citizenship 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>

Energy Project Analyst

<br><h4>Overview</h4><p>LMI seeks an Energy Engineer to provide engineering expertise and guidance that will improve and expand energy efficiencies and capabilities for a portfolio of facilities throughout their facilities lifecycle.&nbsp; The ideal candidate will be an electrical engineer who will be responsible for providing technical expertise in energy project development and implementation strategies to meet current and near-term Federal energy and facility standards. Candidates should be based in the mid-Atlantic region, preferably near the Washington DC area.</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>Support the client’s facility energy project development efforts and sustainability initiatives by acting as a technical advisor for specific engineering matters.</li><li>Apply subject matter expertise to deliver solutions to engineering requirements for projects to include both new construction and maintenance and repair of existing real property.</li><li>Facilitate project meetings and communicate/collaborate with senior leadership, engineering subject matter experts (SMEs), project managers, architects, planning and budget staff, and facility managers about issues and solutions regarding project requirements.</li><li>Perform quality assurance reviews of design documents and engineering studies and provide associated technical recommendations</li><li>Engage with service providers, federal managers and program staff, national laboratories, private sector contractors and other stakeholders to identify facility energy requirements, perform gap analyses, and ensure the successful execution and delivery of engineering projects and work products.</li><li>Review project progress from an engineering perspective, measuring performance and taking necessary corrective actions to maintain agreed-upon requirements.</li><li>Travel to project sites at geographically dispersed locations nationwide as required to verify progress of work, ensure conformity with specifications and accepted engineering practices, attend program management reviews and contribute to technical teams as required.</li><li>Help manage existing ESPCs by working with energy services contractors to identify, plan, and implement energy efficiency, renewable energy, and water efficiency measures at sites across the client portfolio. </li><li>Track and manage legacy third party finance projects, including annual measurement and verification (M&amp;V) reporting compliance and technical support for several existing energy performance contracts.</li><li>Help identify, pursue, and apply appropriate financing methods (ESPC, ESPC ENABLE, UESCs), grants (AFFECT), and Federal appropriations to execute energy projects and facility improvements that result in significant energy savings, and/or energy demand reductions.</li><li>Track inventory and manage performance of existing renewable energy systems portfolio. Provide technical and planning support for renewable energy systems not managed under active performance contracts.</li><li>Draft executive summary reports and white papers for sustainability/energy data as needed which may include white papers, standard operating procedures (SOPs), briefings, feasibility studies, research summaries, position papers, and similar analytical products in support of the client.</li><li>Prepare, review, and analyze sustainable energy project and market reports and conduct energy, environmental, and economic benefits analysis of sustainable energy technologies and projects.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree or higher in Engineering (Civil, Electrical, Mechanical, or General) or related field.</li><li>Certified Energy Manager (CEM) certification preferred</li><li>Experience in analysis of energy consumption, energy rates, and life cycle cost analysis.</li><li>Familiarity with all and expertise in at least one of the following<ul><li>Renewable energy technologies, such as solar, wind, geothermal, hydro, or biomass</li><li>Electrical distribution infrastructure technologies</li><li>Energy storage technologies</li><li>Energy resilience and security system technologies</li><li>Utility control system technologies</li><li>Guiding Principles for Sustainable Federal Buildings</li></ul></li><li>Proficiency with software tools for research, analysis, reporting, communications, and collaboration (e.g., Microsoft Office suite, to include Power BI and SharePoint, and proprietary government real property systems and applications)</li><li>Federal or utility energy or sustainability experience preferred.</li><li>Strong candidate will be able to demonstrate experience in working with multiple stakeholders and building consensus</li><li>The candidate shall have consultative capabilities with strong communication and organizational skills</li><li>Experience in managing simultaneously, multiple projects with independent schedules and budgets</li><li>Project Management Professional (PMP) preferred but not required.</li><li>Moderate travel within the CONUS will be required.</li><li>Must be eligible for a U.S. security clearance; US citizenship 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>

Energy Engineer

<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 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 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><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 skilled Data Scientist at our headquarters office in Tysons, VA. Successful Data Scientists demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.</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><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:</p><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><li>Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark.</li><li>Develop scalable heuristic-based and machine learning-based approaches to entity resolution across complex datasets.</li><li>Support the deployment of the entity resolution algorithms into a production pipeline.</li><li>Support the evaluation, maintenance, and retraining of the entity resolution algorithms in production over time.</li><li>Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.</li><li>Assist the development of junior data scientists through technical mentoring, code review, and other assistance.</li><li>The data scientist will need the ability to work in teams and independently.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.</li><li>Experience working with Python.</li><li>Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.</li><li>Superior communication skills, both oral and written</li><li>Active DoD security clearance at the Top Secret level.</li></ul><p>Desired Skills:</p><ul><li>Master’s degree or higher.</li><li>Working knowledge of Spark or PySpark</li><li>Experience with Databricks, Qlik, and the Advana analytics platform</li><li>Experience with entity resolution algorithms</li><li>Experience with deploying and maintaining models in production</li><li>Experience scaling models and algorithms to large datasets</li><li>Previous DOD experience.</li><li>Previous experience working with supply chain or maintenance data or processes.</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 seeking a skilled Data Scientist at our headquarters office in Tysons, VA. Successful Data Scientists demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.</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><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:</p><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><li>Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark.</li><li>Develop scalable heuristic-based and machine learning-based approaches to entity resolution across complex datasets.</li><li>Support the deployment of the entity resolution algorithms into a production pipeline.</li><li>Support the evaluation, maintenance, and retraining of the entity resolution algorithms in production over time.</li><li>Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.</li><li>Assist the development of junior data scientists through technical mentoring, code review, and other assistance.</li><li>The data scientist will need the ability to work in teams and independently.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.</li><li>Experience working with Python.</li><li>Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.</li><li>Superior communication skills, both oral and written</li><li>This position requires the ability to receive a security clearance at the Secret level. You&nbsp;must be a US citizen.</li></ul><p>Desired Skills:</p><ul><li>Master’s degree or higher.</li><li>Working knowledge of Spark or PySpark</li><li>Experience with Databricks, Qlik, and the Advana analytics platform</li><li>Experience with entity resolution algorithms</li><li>Experience with deploying and maintaining models in production</li><li>Experience scaling models and algorithms to large datasets</li><li>Previous DOD experience.</li><li>Previous experience working with supply chain or maintenance data or processes.</li><li>Active DoD security clearance at the Secret or Top Secret level.</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>

14 Natural and Environmental Sciences Jobs in District of Columbia