LMI is seeking a Data Scientist to support a client in the Colorado Springs, CO area.  

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

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 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
• Assist the development of junior data scientists through technical mentoring, code review, and other assistance
• 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
• 7+ years’ experience in data or business analytics
• 2+ years’ experience with Masters degree will be considered
• 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 
• Active Secret Clearance

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

Salary range: $88,000-$185,000.  Final salary will be determined based on qualifications and experience.