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Form of workLMI is seeking a Data Scientist to support a client in the Colorado Springs, CO area.
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!
Are you a passionate about Space? How would you like to use your data science skills to help guide US space strategy into the future? We are building a space market data science team to analyze simulations of space communications, navigation, and conflict for US Space Command and US Space Force. You will be a principal in the data science team and create robust analysis pipelines. You’ll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud (AWS) deployment environments. We’re on a development trajectory to be able to simulate tens of thousands of space platforms in tradespace analysis of hundreds of thousands of architecture options. Come join us as part of an agile, collaborative, and innovative team!
- Build and lead a data science effort for a large-scale IRAD effort.
- Engage with customers to understand space architecture questions and present impactful, actionable analytical answers.
- Research, develop, and test state-of-the-art analytical pipeline approaches, including machine learning, artificial intelligence, causal inference, etc.
- Collaborate with software engineers to develop analytic software, design models and simulations, implement modern data architectures and cloud storage, etc.
- Collaborate with operational analysts to answer policy questions, ensure simulation accuracy, and help them understand how to exercise the pipelines.
- Actively participate in the agile sprint process.
Required:
- 2+ years experience with Bachelor’s degree required, 1+ years with Masters or PhD preferred.
- 2+ years of experience in Python development, as a Data Scientist or software developer.
- Graduate or Undergrad degree in a STEM field; data science, computer science, operations research, or related technical field.
- Knowledge of machine learning, artificial intelligence, data architecture, data mining, etc.
- Experience working with customers to determine project requirements, especially federal government.
- Experience creating presentations of data and analytical findings for both technical and leadership stakeholders.
- Desire and ability to innovate and work collaboratively across disciplines.
- Experience collaborating in a flat team environment, and self-directing work.
- Ability to obtain and maintain a security clearance in a timely manner.
Desired:
- Existing security clearance.
- Experience with AWS machine learning and analytics libraries.
- Experience with Agile and Scrum processes.
- Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success.
- Possess a natural curiosity and desire to challenge yourself and those around you.
Target salary range: $67,000 - $119,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
