We are seeking a mid-level Data Scientist with a strong background in data management, visualization, and reporting related to security assistance accounts and interagency coordination. The ideal candidate combines rigorous analytical thinking with creativity, technical curiosity, and sound judgment.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Serves as the principal analyst and integrator for data management, visualization, and reporting related to security assistance accounts and interagency coordination. This role shall ensure all deliverables expand the client’s analytical capacity, ensure responsible AI implementation, and enable evidence-based decision-making across portfolios. This role shall provide support which includes developing and maintaining dashboards, workflows, and reporting tools using Microsoft Power BI, Excel, and Lists; ensuring data accuracy; and providing insights that inform program and budget formulation.
Required Qualifications:
Required Education and Certification:
Target salary range: $84,000 - $140,000
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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