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<br><h4>Job Description</h4><p>Required Skills:</p><p>8+ yearsof experience in one or a combination of the following:</p><p>Reportingor Analytics.</p><p>4+ yearspreviously mentioned experience with a Master’s degree or higher, that has aquantitative focus such as applied mathematics, statistics, engineering,physics, accounting, finance, economics, econometrics, computer sciences, orbusiness/social and behavioral sciences with a quantitative emphasis.</p><p>4+ yearsof SAS or SQL experience.</p><p>4+ yearsof data warehousing experience.</p>

IMCS Group

Data Scientist

<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 Data Scientist at the client site in Tampa, Florida. Successful Data Scientists demonstrate competency in leading guided, multifaceted analystic studies against large volumes of data.&nbsp;</p><h4>Responsibilities</h4><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><li>Possess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON.</li><li>Analyst must be able to transform data and analysis into informative data visualizations and/or interactive dashboards using open source and commercially available visualization and dashboard tools.</li><li>Demonstrate the ability to derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.</li><li>Ability to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting.</li><li>Possess the ability to work in teams and independently.</li><li>Develop AI/ML models to enrich data providing further utility to the analysts. </li><li>Conducts complex data assessments to determine operational utility of proposed data sets in answering priority intelligence requirements. </li><li>Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools.</li><li>Discovers links and connections in disparate datasets providing context to intelligence analysts.Performance Duties:</li><li>Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method</li><li>Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges</li><li>Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts</li><li>Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data</li><li>Develop and deploy AI/ML models to enrich data holding in support of priority intelligence requirements</li><li>Create advanced analytic models leverage multi-modal datasets to answer complex intelligence questions</li></ul><h4>Qualifications</h4><p>REQUIRED:</p><ul><li>Master's degree or 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, R, Natural Language Processing (NLP), AI/ML Ops&nbsp;</li><li>2+ years of relevant experience in the field</li><li> Demonstrated experience applying data science methods to real-world data problems</li><li>Demonstrated experience developing and deploying AI/ML in support of decision making</li><li>Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.</li><li>Additional preferred qualifications include working with unstructured text and natural language processing.</li><li>Superior communication skills, both oral and written</li><li>This position requires an active security clearance at the <strong>TS/SCI level</strong>. You must be a US citizen.</li></ul><p>DESIRED:</p><ul><li>Master’s degree or higher.</li><li>Previous DOD experience.</li><li>Working knowledge and experience with: SQL, noSQL, SQLAlchemy, Flask, Streamlit, Dash, React,Javascript, HTML/CSS, Spark, Application Programming Interfaces, Continuous Integration / Continuous Development (CI/CD</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>

LMI Consulting, LLC

Data Scientist - TS/SCI 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>

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