Junior Data Scientist with Security Clearance - Now Hiring

Overview 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. LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces! 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! LMI is seeking a Junior Data Scientist to support a Special Operations customer in Fort Bragg, NC. *This position is on-site at Fort Bragg, NC* Responsibilities Responsibilities may include: * Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. * Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data * Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. * Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. * Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting * methods, and other advanced statistical techniques. * Design and automate processes to facilitate the manipulation and analysis of data. * Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. * Use frameworks such as Spark and Hadoop to conduct large-scale data processing. * Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling and data visualizations Qualifications QUALIFICATIONS: * Ability to obtain an interim Secret Clearance in a timely manner is required. Candidates with an active clearance with the eligibility to obtain a TS/SCI is preferred. * Bachelors degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related STEM field is required. Master's Degree is preferred. * Minimum of 1-year experience is required * Demonstrated experience applying data science methods to real-world data problems. * Proficient in modeling frameworks like Universal Modeling Language (UML) * Proficient in Agile Development and Git Operations * Proficient with at least one programming language (Java, C , Python, R, etc.) * Outstanding communication skills, written and verbal * Highly organized and able to manage multiple projects simultaneously * Team-player mentality with a positive attitude * Keen attention to detail and solid analytical skills * Able to articulate complex, abstract concepts concisely and effectively Languages, Tools, and Techniques * Demonstrated proficiency with Python and SQL to manipulate data and draw insights from large data sets. * Demonstrated proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. * Demonstrated proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. * Demonstrated proficiency with common data science libraries. * Demonstrated proficiency visualizing/presenting data for stakeholders. * Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot. #LI-SH1