Overview LMI is seeking a Senior Data Science Consultant to lead in developing, testing, and fielding advanced algorithms in support of a supply chain risk program for the Department of Defense. Responsibilities * Leverage deep and broad knowledge of advanced data science concepts to streamline the curation and analysis of complex supply-chain data * Use knowledge of advanced topics in data science, such as active learning, semi-supervised learning, bias calculation, etc. * Write python, spark, and SQL code to prepare and analyze data in both research and production environments * Work closely with data engineers, UI developers, and subject matter experts to develop and deploy data science methods in support of an evolving software suite * Lead and execute on data science tasking in support of multiple teams, coordinating prioritization across them as needed * Rapidly spin up on new data science topics and methods as they become applicable to the project * Work comfortably in a Databricks environment, where most code is developed, tested, and deployed via notebooks * Quickly learn, and be excited to leverage, novel data science techniques to solve real-world challenges involving large scale, often messy data sets Qualifications * Bachelor's degree in Computer Science, Data Science, or related field and/or equivalent work experience * 3-10 years of experience as a data scientist * Experience with: * Agile-based development * Python, Spark, notebooks * Data Bricks or similar environment * Scikit-learn or similar python packages * Highly effective analytical, conceptual, and problem-solving skills * Active DoD Secret clearance required (Top Secret clearance desired)