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<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 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 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><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

Data Science Intern - Summer 2025

<br><h4>Overview</h4><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 Databricks 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>3-10 years of experience as a data scientist</li><li>Experience with:</li><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>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>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><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Science Consultant - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking an experienced Scrum Master to join our team for an AI-driven project with a strong focus on data and product management. The project encompasses various activities, including data architecture, data ingestion, modeling and simulation, user onboarding, and data visualization. The ideal candidate will bring a unique blend of data science expertise, Agile project management, and experience in driving team success within a SAFe Agile framework.</p><h4>Responsibilities</h4><ul><li>Facilitate Agile ceremonies (e.g., Sprint Planning, Daily Stand-ups, Retrospectives) and ensure alignment with SAFe Agile principles</li><li>Collaborate with cross-functional teams to design and implement data architecture, ingestion, and modeling solutions, ensuring data quality and consistency</li><li>Work closely with product and data management teams to prioritize, define, and groom backlog items focused on data architecture, modeling, and AI-driven simulations</li><li>Support user onboarding activities by collaborating with data and UX/UI teams to ensure a smooth experience for end-users</li><li>Coordinate data visualization efforts, ensuring visual outputs are insightful, user-centric, and align with project goals</li><li>Serve as a mentor and coach to the team in Agile best practices, promoting a collaborative and innovative environment</li><li>Identify and manage project risks, dependencies, and opportunities, ensuring proactive mitigation and alignment with project timelines</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Data Science, Computer Science, or a related field</li><li>3-10 years of experience as a data scientist or in a similar data-driven role</li><li>Proven experience as a Scrum Master on projects involving data architecture, modeling, or AI</li><li>Active DoD security clearance (Secret) required</li><li>Strong understanding of data management principles, data modeling, and data ingestion processes</li><li>Familiarity with data visualization and AI tools and techniques</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Master’s degree in Data Science or a related field</li><li>Certifications in SAFe Agile methodology (e.g., SAFe Scrum Master, SAFe Agilist)</li><li>Experience in the AI/ML domain with a focus on data-centric projects</li><li>Excellent communication, organizational, and team facilitation skills</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, React) and data engineering tools (e.g., Apache Kafka, Spark)</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>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><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Scrum Master & Data Science Consultant - Clearance Required

<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><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>Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience</li><li>Minimum of 10 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>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><b>Need help finding the right job?</b><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 seeks DoD Energy Performance Analyst to provide installation energy analysis and expertise to a DoD client.&nbsp; 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>Evaluate DoD mission impact of various proposed installation energy initiatives, including energy conservation, energy efficiency, and alternative financing.</li><li>Support DoD client in energy management working groups</li><li>Conduct analyses of data and develop recommendations regarding the effectiveness of agency programs and to support the customer’s oversight role for energy project development and funding</li><li>Review and provide recommendations to update DoD installation energy policy guidance</li><li>Assist in managing energy reporting systems and resolving discrepancies, drafting and finalizing energy management reports</li><li>Analyze installation energy consumption data</li><li>Perform business case analyses for energy technologies and projects</li><li>Develop analytical content for written deliverables which may include white papers, briefings, feasibility studies, research summaries, position papers, and similar analytical products in support of the client.</li><li>Prepare, review, and analyze ESPC, UESC energy projects and portfolio performance; develop and recommend policies and processes for improving the implementation of third party financing.</li></ul><h4>Qualifications</h4><ul><li>Master’s Degree in engineering, scientific, technical or related discipline</li><li>Minimum of twenty years of progressively responsible experience of which at least ten (10) years is experience in program/project management of DoD utilities/energy, Federal Agency utilities/energy, or large private sector utility systems.</li><li>Five (5) + years OSD/Service staff/Joint Staff experience</li><li>Knowledge of DOD organization and structure; experience at the OSD level.</li><li>Clearance: Top Secret (SCI Eligible)</li></ul><p>Target salary range: $89,000 - $157,000</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><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

DoD Energy Performance Analyst  - Clearance 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><b>Need help finding the right job?</b><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>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><b>Need help finding the right job?</b><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><b>Need help finding the right job?</b><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><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

9 Natural and Environmental Sciences Jobs in McLean, VA, USA