Overview:
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:
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.
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!
- 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
Required:
- Bachelor’s degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline
- 3+ years experience in data or business analytics or a Masters degree
- High level of competency with data science/analysis coding languages like SQL, Python, or R
- Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
- Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
- Self-starter with the vision to independently identify opportunities for improvement through data analytics
- A true team player who maintains a positive attitude in a dynamic environment
- Excellent communication skills, written and oral
- Proven ability to work with business customers and technical teams
- Highly organized and able to manage multiple projects simultaneously
- Excellent customer relationship management skills
- Innovative problem-solving skills and ability to thrive in a fast-paced environment
- Top Secret Clearance eligibility required
Desired:
- Master’s degree or higher
- Top-Secret Clearance
- Experience using python libraries to build machine learning models like regression models and decision trees
- Experience with version control software e.g Git
- 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: $88,986 - $155,154
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.
Report job
