Data Modeling Analyst - Clearance Required

LMI is seeking a Data Scientist to support the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and civilian sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.Collaborate actively within a team of data scientists to rapidly design and deploy machine learning meta models, capturing complex scenarios across an extensive array of weapon system componentsApply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputsCraft and deploy sophisticated supervised ML models employing tools such as Python, PySpark, and MLflowUtilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approachesAdvance the automation, efficiency, and precision of meta modeling and optimization solutions by contributing innovative approaches and enhancementsCollaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystemOperate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooksManage data science initiatives, ensuring effective coordination and prioritization across multiple team engagementsEngage with cutting-edge data science techniques to address complex, large-scale data challenges Bachelorsdegree in Data Science, Operations Research, or a related field, supplemented by relevant work experience1-3 years’ experience in a data science capacityExperience with supervised/unsupervised ML methodologiesSQL experience preferred, not requiredPython experience requiredDatabricks experience preferred, not requiredGitHub, CI/CD workflow experience desiredProficiency in Agile development methodologiesStrong background in Python, Spark notebooks, and cloud-based environments like DatabricksExperience with Python libraries such as Scikit-learnDemonstrated ability to use MLflow and similar toolsRobust analytical, conceptual, and problem-solving skillsActive DoD Secret clearance required; Top Secret clearance preferredTarget salary range:$82,040 - $141,600Disclaimer:The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Created: 2025-11-15