Data Scientist SME - Clearance Required

Overview

LMI is seeking a Data Science SME to support a client located at Fort Belvoir, VA.

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 solutions and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

Responsibilities

This Data Scientist will work with a team of data scientists, data engineers, and data analysts to support advanced analytics projects for Army customers. Responsibilities include:

• Leading customer engagement and serve as a trusted program innovator.
• Advise on digital transformation efforts to enable data science capabilities at the Enterprise scale.
• Engage technical and non-technical stakeholders to understand business processes, analytical requirements, key data elements, etc.
• Define and develop techniques to integrate, consolidate, and structure data for analytical use.
• Develop briefing packages to communicate complex ideas to non-technical customers.
• Travel: Minimal, less than 10%

Qualifications

MINIMUM QUALIFICATIONS:

• DoD Secret clearance required. Must have at a minimum an active Interim Secret Clearance.
• Bachelor's degree in computer science, engineering, public policy or related field.
• 7+ years of related work experience.
• Experience leading a team of advanced analytics professionals.
• Experience with Agile project management.
• Experience with big data and big data technologies.
• Experience with data visualizations and interactive dashboards.
• Superior communication skills, both oral and written.
• Ability to influence and align others and move toward a common vision or goal.

PREFERRED QUALIFICATIONS:

• Graduate degree in computer science, engineering, or related field.
• Experience working with data analysis tools including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
• Experience with Palantir’s Foundry platform.
• Experience with US Army data.