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<br><h4>Overview</h4><p>LMI is seeking a skilled Senior Data Scientist to support the Joint Munitions Command with development on the Army Vantage analytics platform. Successful LMI Data Scientists demonstrate competency in demonstrate competency in data analysis, data visualization, statistics, programming, project execution, critical thinking, and communicating analysis results through informative reports, graphics, and interactive visualizations. In addition, LMI Data Scientists have demonstrated experience in collaborating with other Data Scientists and with effective communication with clients.&nbsp;</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><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 Army’s Joint Munitions Command. 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>Transform data and analysis into informative data visualizations and/or interactive dashboards.</li><li>Develop metrics for the evaluation of baseline performance and the effectiveness of newly developed models.</li><li>Develop machine learning models of ammo consumption to develop a system for optimal resupply.</li><li>Support the deployment of the predictive algorithms into a production pipeline.</li><li>Support the evaluation, maintenance, and retraining of the models in production over time.</li><li>Assist the development of junior data scientists through technical mentoring, code review, and other assistance.</li><li>Ability to work in teams and independently.</li></ul><h4>Qualifications</h4><p><strong>Required Qualifications:&nbsp;</strong></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>Minimum 3-5+ years of experience in data science or data engineering</li><li>Experience working with Python.</li><li>Experience creating meaningful data visualizations and/or interactive dashboards that communicate your findings and relate them back to how your insights create business impact using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js.</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 Secret Clearance</li></ul><p><strong>Desired Qualifications:&nbsp;</strong></p><ul><li>Master's degree in a related field</li><li>Working knowledge of Spark or PySpark</li><li>Experience with the Palantir Foundry data analytics product</li><li>Experience with demand and inventory planning or supply chain operations</li><li>Experience with deploying and maintaining models in production</li><li>Experience with Army enterprise data&nbsp;</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

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

Scrum Master & Data Science Consultant - Clearance Required

Company Description<br><br><strong>About Veolia North America </strong><br><br>A subsidiary of Veolia Group, Veolia North America (VNA) offers a full spectrum of water, waste and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. VNA helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Mass., Veolia North America has approximately 10,000 employees working at more than 350 locations across the continent. Please visit our website  <a href="http://www.veolianorthamerica.com" target="_blank">www.veolianorthamerica.com</a>  <br><br>Job Description<br><br><strong>BENEFITS </strong><br><br>Veolia's comprehensive benefits package includes paid time off policies, as well as health, dental and vision insurance. In addition, employees are also entitled to participate in an employer sponsored 401(k) plan, to save for retirement.  Pay and benefits for employees represented by a union are outlined in their collective bargaining agreement. <br><br><strong>Position Purpose: </strong><br> This position provides specialized transportation and disposal services to our clients. Responsibilities include manifesting, packaging, spill response, labeling, loading/unloading, coordinating transportation, and sampling/profiling material while adhering to state and federal environmental, health, and safety regulations.<br><br><strong>Primary Duties/responsibilities: </strong><br><ul><li>Sample waste streams according to prescribed policies and procedures.</li><li>Manifesting, packaging, spill clean-up response and remedial activities, labeling, loading, off loading, and coordinating transportation.</li><li>Maintain a professional image to clients by answering inquiries and suggesting solutions to existing/potential problems.</li><li>Comply and enforce all compliance, health, safety, and procedures in accordance with VES-TS policies.</li><li>Become familiar with all U. S. Department of Transportation (DOT)/Environmental Protection Agency (EPA) and VES-TS regulations required in submitting paperwork to expedite disposal of hazardous waste.</li><li>Operate and maintain all equipment in a professional manner to ensure optimum efficiency and effectiveness.</li><li>Other duties as assigned.</li></ul><br><br>Qualifications<br><br><strong>Education / Experience / Background: </strong><br><ul><li>High School diploma or General Educational Development (GED) required</li><li>Bachelor's degree in Chemistry or a related science discipline preferred</li></ul><br><strong>Knowledge / Skills / Abilities: </strong><br><ul><li>Strong team player</li><li>Excellent interpersonal and communication skills</li><li>Time management: the ability to organize and manage multiple deadlines</li><li>Strong customer service orientation</li><li>Computer proficiency</li><li>Ability to follow through on assignments.</li></ul><br><strong>Required Certification / Licenses / Training: </strong><br><ul><li>40-hour HAZWOPER Certification</li><li>Valid Driver's License</li><li>Ability to obtain a Class A or B Commercial Drivers License (CDL) with Hazardous (H) endorsement</li></ul><br><br>Additional Information<br><br>We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. <br><br>Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Environmental Specialist

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

Data Science Intern - Summer 2025 (HBCU Students)

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

Senior Data Scientist - TS/SCI with Polygraph Required

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

Data Scientist - TS/SCI with Polygraph Required

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

15 Natural and Environmental Sciences Jobs in Virginia