Overview:
LMI is seeking a Data Scientist to support a client in the Colorado Springs, CO area.
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.
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 growing our Space Market data science team to analyze simulations of the Space portfolio, to include supporting Guardian training. You will be assisting the data science team to 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. Come join us as part of an agile, collaborative, and innovative team!

Responsibilities:

• Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
• Understand and analyze complex datasets
• Define and develop techniques to integrate, consolidate, and structure data for analytical use
• Support the maturation of data quality
• Transform data and analysis into informative visualizations and interactive dashboards
• Provide regular detailed reporting to management and customers
• Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers
• The data scientist will need the ability to work in teams and independently
• Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products

Qualifications:

• Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
• Understand and analyze complex datasets
• Define and develop techniques to integrate, consolidate, and structure data for analytical use
• Support the maturation of data quality
• Transform data and analysis into informative visualizations and interactive dashboards
• Provide regular detailed reporting to management and customers
• Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers
• The data scientist will need the ability to work in teams and independently
• Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data product