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

LMI Consulting, LLC

Data Scientist (SME) - TS/SCI with Polygraph Required

<br><h4>Overview</h4><p><strong>LMI: Innovation at the Pace of Need™</strong></p><p>At LMI, we’re reimagining the path from insight to outcome at the new speed of possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><p>LMI is seeking a skilled Supply Chain Resilience Consultant to support DoD’s Chief Digital and Artificial Intelligence Office (CDAO).&nbsp;A successful consultant demonstrates competency in client engagement, communications, research, data analysis, and solutioning in support of supply chain resilience concepts and methodologies. Work is primarily located at the LMI Tysons, VA office with remote/telework allowed. Periodic onsite client engagements at classified and unclassified levels could be held at the Suffolk Building in Falls Church, VA.</p><h4>Responsibilities</h4><ul><li>Provides program management support and serves as a key consultant for supply chain resilience, data science, and supply chain risk management (SCRM) activities supporting DOD's risk mangement capabilities.</li><li>Serves as subject matter expert for the integration of risk data from various commercial and government sources into Advana.</li><li>Works collaboratively with federal government organizations, and industry in developing overarching SCRM strategies.</li><li>Utilize analytical tools and techniques to gather, analyze, and interpret data for risk analysis and reporting.&nbsp;</li><li>Works collaboratively with project teams to design outputs of work products.</li><li>Communicates with clients through written reports and oral presentations.</li><li>Designs, builds, and tests UI components for analysis and navigation using best practices in conjunction with user requirements.</li><li>Collaboate with team on new development efforts using a background of Qlik and Tableau knowledge/experience to implement new features, such as user-inputted parameters for data collection and display.</li><li>Works with users to collect feedback and writes requirements for Qlik development.</li><li>Works with data teams to help manage the flow of data from acquisition and ingestion into Advana through extract, transform, and load activities using Databricks to power UI.</li><li>Prioritizes development and works with data and other project stakeholders to architect solutions.<br></li><li>Foster relationships with external partners and agencies to enhance risk analysis and information sharing.&nbsp;</li><li>Stay updated on the latest advancements in data engineering, data science, and supply chain technologies through industry conferences, training, and research to drive innovation in SCRM.&nbsp;</li><li>Apply database, statistical, machine learning, and natural language processing (NLP) algorithms to analyze large volumes of data, identify patterns, and uncover potential vulnerabilities and threats within the supply chaiin.</li></ul><h4>Qualifications</h4><ul><li>Minimum of 5 years of experience leveraging data analytics or data science approaches.&nbsp; Application of that experience in the area of supply chain management, supply chain risk management (SCRM), intelligence, or related field is preferred.&nbsp;</li><li>Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline.&nbsp;&nbsp;</li><li>Strong experience with Qlik Sense, Tableau, SQL, Python, and Advana is highly desired.</li><li>Understanding of basic supply chain concepts to help to align data engineering and data science techniques with specific supply chain risk challenges.&nbsp;</li><li>Excellent communication skills, with the ability to convey technical findings and insights to both technical and non-technical stakeholders.&nbsp;</li><li>Strong analytical thinking and problem-solving skills.&nbsp;</li><li>Continuous learning mindset and a passion for exploring new techniques to enhance SCRM capabilities.&nbsp;</li><li>Familiarity with SCRM tools and SCRM regulations and frameworks preferred.&nbsp;</li><li><strong>Active Secret clearance. Top Secret preferred.</strong>&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><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Scientist (Supply Chain Resilience) - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a skilled Data Analyst at our headquarters office in Tysons, VA. Successful Data Analysts demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.</p><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 operate completely free of political and commercial bias, and we are entirely aligned with the goals of our clients. Our clients value our specialized services in logistics, intelligence, homeland security, health care, and energy and environment markets. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. We offer a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flex time, and tuition reimbursement are a few of our many work-life benefits available to our employees.</p><h4>Responsibilities</h4><p>This data analyst 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>Will, with the guidance and support of experienced team members, build 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>The analyst 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 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, and 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>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, or the Advana analytics platform</li><li>Previous DOD experience.</li></ul><ul><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>

Junior Data Scientist

<br><h4>Overview</h4><p>LMI is seeking a Senior Data Analyst/Data Scientist to support our Intelligence Community client.</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><p>LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces!&nbsp;We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!</p><h4>Responsibilities</h4><p>Responsible for providing advanced data analytics and predictive strategic workforce planning via on-demand, intuitive web-based capabilities and reporting.</p><ul><li>Collaborate with an integrated team of data scientists, data analysts, and HR functional SMEs to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results </li><li>Understand and analyze complex and organization-specific datasets.</li><li>Define and develop techniques to integrate, consolidate, and structure data for analytical use.&nbsp;</li><li>Support the maturation of data quality</li><li>Support the transformation of businesses process through automation</li><li>Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools</li><li>Provide regular detailed reporting to management and customers&nbsp;</li><li>Advise on the interpretation and use of data analysis products, dashboards and reports to non-technical customers</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><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></ul><h4>Qualifications</h4><p>Required:</p><ul><li>Bachelor’s degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline</li><li>7+ years experience in data or business analytics&nbsp;</li><li>High level of competency with data science/analysis coding languages like SQL, Python, or R </li><li>Experience developing dashboards using 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>Self-starter with the vision to independently identify opportunities for improvement through data analytics</li><li>A true team player who maintains a positive attitude in a dynamic environment</li><li>Excellent communication skills, written and oral</li><li>Proven ability to work with business customers and technical teams&nbsp;</li><li>Highly organized and able to manage multiple projects simultaneously&nbsp;</li><li>Excellent customer relationship management skills&nbsp;</li><li>Innovative problem-solving skills and ability to thrive in a fast-paced environment &nbsp;</li><li>Ability to work on client site in the NCR in Washington, D.C.; Reston, VA; or College Park, MD </li><li><strong>This position requires an active security clearance at the TS/SCI level with the ability/willingness to receive a polygraph. Current polygraph preferred.</strong></li></ul><p>Desired:</p><ul><li>Masters degree or higher</li><li>Experience using python libraries to build machine learning models like regression models and decision trees</li><li>Experience with version control software like Git</li><li>Management consulting experience desired&nbsp;</li><li>Experience working with unstructured text and natural language processing</li><li>Experience with deploying and maintaining models in production</li><li>Previous experience with people analytics</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 Analyst/Data Scientist - TS/SCI Required

<br><h4>Overview</h4><p><strong>LMI: Innovation at the Pace of Need™</strong></p><p>At LMI, we’re reimagining the path from insight to outcome at the new speed of possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><p>This position is embedded within our Advanced Analytics &amp; AI practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.</p><h4>Responsibilities</h4><p>This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:</p><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>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.</li><li>Build 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>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.</li></ul><h4>Qualifications</h4><p>MINIMUM QUALIFICATIONS:</p><ul><li><strong>Active DoD Secret clearance</strong></li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline</li><li>Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)</li><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics</li><li>Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js&nbsp;to communicate findings and relate them back to how your insights create business impact</li><li>Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections</li><li>At least 2–5 years of experience in the field</li><li>Superior communication skills, both oral and written</li></ul><p>DESIRED SKILLS</p><ul><li>DoD experience preferred</li><li>Unstructured text and natural language processing</li><li>Working knowledge of Spark or PySpark</li><li>Experience with Databricks, Qlik, and the Advana analytics platform</li><li>Previous experience working with supply chain or maintenance data or processes</li><li>Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets</li><li>Supervising algorithm implementation in on-premise and cloud-based computing environments</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions</li></ul><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>

Data Scientist - Clearance Required

<p>Job Description:</p>The Adjunct position provides quality instruction and maintains a positive learning environment in the classroom, with major emphasis placed on teaching, supporting and evaluating students. The Adjunct role provides instruction and monitors teaching/learning effectiveness in courses assigned by the Department Chair, or other leadership members. The incumbent must exhibit strong organizational skills and the ability to multitask while engaging large groups of people with complicated material.<p>Instruction &amp; Student Learning</p><ul><li>Teaches assigned courses as scheduled. Designs curriculum embracing diversity, in all forms, to foster talent in students while modeling inclusive teaching strategies, with an understanding of the socio-cultural issues of traditionally underrepresented groups.</li><li>Considers individual differences of students in order to design and support a range of appropriate learning activities.</li><li>Participates in the identification of students with academic or other needs and responds by utilizing an appropriate resource.</li><li>Uses technology in a manner appropriate to the nature and objectives of courses and programs and communicates clearly to students the expectations concerning the use of such technology. Keeps accurate and appropriate records in accordance with departmental policies.&nbsp;</li><li>Maintains attendance records, determines and submits grades timely, and in accordance with established policies and procedures of the College, and communicates progress feedback as well as other relevant information to students throughout the semester.</li><li>Distributes and maintain accurate syllabi that incorporates departmental, college, cross-college, and instructor requirements. Conducts classes punctually and in accordance with the prescribed meeting schedule.</li><li>Employs appropriate assessment techniques to measure students’ performance in achieving course goals and objectives. Engages in periodic meetings with the department, Lead Instructor, and Chairperson relative to teaching duties and professional development.</li></ul><p>Student Engagement &amp; Advisement&nbsp;&nbsp; &nbsp;</p><ul><li>Creates a positive classroom atmosphere that encourages active and collaborative learning, student effort, academic challenge, student and faculty interaction, and support for learners. Uses technology to assist in communication with students.</li><li>Encourages a sense of community among students for learning both inside and outside the classroom. Refers students to appropriate student and academic support services available at the College or in the community.</li></ul><p>Diversity, Equity, &amp; Inclusion</p><ul><li>Helps to ensure the College meets its responsibilities in identifying areas of opportunity and systemic concerns while reporting complaints alleging discrimination.&nbsp;</li><li>Creates a welcoming, inclusive, equitable and productive work and learning environment where all students, faculty members, and college employees feel valued and are able to contribute to their full potential, regardless of their differences.</li><li>Ensures accessible and inclusive curriculum design and teaching strategies, and specifically promotes, advises, and supports curriculum development aimed at creating a diverse and equitable learning environment.&nbsp;</li><li>Fosters and maintains a safe environment of respect and inclusion for faculty, staff, students, and members of the community.</li></ul><p>Minimum Qualifications: </p><ul><li>Master's degree in Political Science. </li><li>State Motor Vehicle Operator's License or demonstrable ability to gain access to work site(s).&nbsp;</li></ul><p>Preferred Qualifications: </p><ul><li>Prior teaching experience</li></ul><p>Compensation: $54.88</p><p>Full Time/Part Time:</p>Part time<p>Union (If Applicable):</p><p>Scheduled Hours:</p>20

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