Senior Data Scientist - Clearance Required

Senior Data Scientist - Clearance Required Job Locations US-VA-Fort Belvoir Job ID 2024-12200 of Openings 1 Category Information Technology Overview 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. 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. Responsibilities 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: Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions. Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark. Transform data and analysis into informative data visualizations and/or interactive dashboards. Develop metrics for the evaluation of baseline performance and the effectiveness of newly developed models. Develop machine learning models of ammo consumption to develop a system for optimal resupply. Support the deployment of the predictive algorithms into a production pipeline. Support the evaluation, maintenance, and retraining of the models in production over time. Assist the development of junior data scientists through technical mentoring, code review, and other assistance. Ability to work in teams and independently. Qualifications Required Qualifications: Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Minimum 3-5 years of experience in data science or data engineering Experience working with Python. 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. Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Superior communication skills, both oral and written Active DoD Secret Clearance Desired Qualifications: Master's degree in a related field Working knowledge of Spark or PySpark Experience with the Palantir Foundry data analytics product Experience with demand and inventory planning or supply chain operations Experience with deploying and maintaining models in production Experience with Army enterprise data 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 accommodationslmi.org 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. Need help finding the right job? We can recommend jobs specifically for you Click here to get started.