Senior Data Modeling Analyst

2 weeks ago


Tysons Corner, Virginia, United States LMI Consulting, LLC Full time

Overview

LMI is seeking a seasoned 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.

At LMI, we're reimagining the path from insight to outcome at The New Speed of PossibleTM. 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.

ResponsibilitiesCollaborate 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 QualificationsBachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experienceMinimum of 3 years' experience in a data science capacityProficiency 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; Top Secret clearance preferred
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

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