Junior Data Scientist - Clearance Required

Junior Data Scientist - Clearance Required Job Locations: US-CO-Colorado Springs | US-CA-El Segundo Job ID: 2026-13822 | # of Openings: 1 | Category: Data/Analytics | Benefit Type: Salaried High Fringe/Full-Time Overview LMI is actively seeking a dynamic, Entry-level Data Scientist to join LMI's Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and U.S. Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI's Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR. The ideal candidate is passionate about space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, including supporting Guardian training. You will assist the team in creating robust analysis pipelines. You'll work with 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. 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. 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. Qualifications Required: Bachelor's degree in science, engineering, mathematics, computer science, economics, data analytics, or 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 vision to independently identify opportunities for improvement through data analytics. Ability to work in teams and independently. Excellent communication skills, written and oral. Innovative problem‑solving skills and ability to thrive in a fast‑paced environment. Active TS with SCI eligibility is required. Desired: 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 such as 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 enabling operations and mission success. Space domain experience and familiarity with space‑focused software solutions. Possess a natural curiosity and desire to challenge yourself and others. Knowledge of cybersecurity best practices. Active TS clearance with SCI eligibility or prior experience working on government‑related projects. 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, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. 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. LMI is an Equal Opportunity Employer LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact View email address on click.appcast.io. Colorado Residents: In any materials you submit, you may redact or remove age‑identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. #J-18808-Ljbffr