Senior Data Modeling & Lead Data Scientist - Clearance Required

Overview
LMI is seeking a seasoned Lead Data Scientist to spearhead 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.
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
Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system componentsApply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputsAdapt and enhance established, 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 approachesMentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutionsCollaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystemCollaborate closely with peer technical leads to identify priorities, risks and solutionsOperate 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 challengesQualifications
Bachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experienceMinimum of 5 years' experience in a data science capacityExtensive experience applying Agile methodologiesDemonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processingDeep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using PythonWell-versed in using MLflow and comparable toolsFamiliarity with Qlik, React or other data visualization platformsRobust analytical, conceptual, and problem-solving skillsActive DoD Secret clearance; Top Secret clearance preferred

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