Junior Data Scientist - Clearance Required

Overview LMI is actively seeking an Entry‑level Data Scientist to join the Space Market data scientist team in Colorado Springs, CO. The role involves working directly with USSF and U.S. Government customers, as well as analytical partners, to develop responsive, high‑performance user interfaces within LMI’s RAPTR platform. The candidate should be passionate about space and interested in using data science skills to help guide USSF into the future. Responsibilities include analyzing simulations of USSF portfolios, supporting training, creating robust analysis pipelines, and crafting analytics for use in workstation, server, and cloud (AWS) environments. 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. 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. 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. Required Qualifications Bachelor’s degree in science, engineering, mathematics, computer science, economics, data analytics, or another related quantitative discipline. Competency with data science/analysis coding languages such as 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, feature engineering, and predictive analytics. Self‑starter with the vision to independently identify opportunities for improvement through data analytics. Ability to work in teams and independently. Excellent written and oral communication skills. Innovative problem‑solving skills and the ability to thrive in a fast‑paced environment. Active TS with SCI eligibility is required. Desired Qualifications Advanced degree in Computer Science or related field. Experience using Python libraries to build machine learning models such as regression models and decision trees. Experience with version control software (e.g., Git). Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases. Experience with back‑end technologies (Rust, Python, Java) within agile development frameworks. Passionate desire to make the joint warfighter world a better place with cost‑effective, performant space architectures. Space domain experience and familiarity with space‑focused software solutions. Curiosity and a desire to challenge oneself and others. Knowledge of cybersecurity best practices. Active TS clearance with SCI eligibility or prior experience working on government‑related projects. Salary Range Target salary range: $69,986 - $118,154. 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 location, internal equity, business considerations, client contract requirements, and candidate qualifications. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. #J-18808-Ljbffr LMI