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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 position is embedded within our Advanced Analytics &amp; AI practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.</p><h4>Responsibilities</h4><p>This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:&nbsp;</p><ul><li>Frame and scale data problems to analyze, visualize, and find data solutions.&nbsp;</li><li>Manipulate common data formats, including comma-delimited, text files, and JSON.&nbsp;</li></ul><ul><li>Build robust, scalable data pipelines using big data technologies such as Spark to enable predictive and prescriptive modeling. &nbsp;</li><li>Develop and deploy modeling capabilities (e.g., simulation, machine learning, statistical forecasting).&nbsp;&nbsp;</li><li>Work with the technical lead on solutioning, timelines, and feasibility.&nbsp;</li><li>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.&nbsp;</li></ul><p>&nbsp;<br></p><h4>Qualifications</h4><p><strong>Required:</strong></p><ul><li><strong>Active DoD Secret clearance</strong>&nbsp;</li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline&nbsp;</li><li>Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), big data frameworks (Spark or PySpark), and associated data science libraries (scikit-learn)&nbsp;</li></ul><ul><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics&nbsp;&nbsp;</li><li>Experience developing and deploying modeling tools and capabilities&nbsp;</li><li>Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections&nbsp;</li><li>At least 10–15 years of experience in the field&nbsp;</li><li>Superior communication skills, both oral and written&nbsp;</li></ul><p><strong>Desired:</strong>&nbsp;</p><ul><li>DoD experience preferred&nbsp;</li><li>Unstructured text and natural language processing&nbsp;</li><li>Experience with Databricks, Qlik, and the Advana analytics platform&nbsp;</li><li>Previous experience working with supply chain or maintenance data or processes&nbsp;</li></ul><ul><li>Supervising algorithm implementation in on-premise and cloud-based computing environments&nbsp;</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions&nbsp;</li></ul><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

Senior Data Scientist - Clearance Required

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

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>

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