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)