Mid-level Spatial Data Scientist

Mid-Level Spatial Data Scientist Opportunity: Are you intrigued by the prospect of deciphering the information concealed within a data set? Are you captivated by the potential presented by the advances in space-based sensors, spatial statistics, machine learning, and artificial intelligence? In our increasingly interconnected world, structured and unstructured data are opening up unprecedented opportunities. As a Spatial Data Scientist, your task will be to transform these intricate data sets into valuable insights that can address global challenges. Whether in private enterprise or public service across various sectors including earth observation and satellite operations, your focus will be on unearthing the answers within the data. You now have the chance to apply your geo-spatial analytic skills to the growing field of geospatial analytics and spatial data science. Working closely with customers, you will strive to understand their needs and priorities, and then delve into their data-rich environment to piece together their information puzzle. Developing algorithms, scripting, building predictive analytics, and implementing machine learning and deep learning, you will wield an array of tools and frameworks to gather seemingly unrelated data points and convert them into invaluable insights that spur innovation, research, and development for our military and governmental leaders. You will empower clients with a thorough understanding of their own data, its implications, and how best to utilize it. Standing at the forefront of spatial data science, you will help define the mission-critical strategies by harnessing the best practices and technologies of spatial data science. Join us to contribute to problem-solving in areas related to geospatial phenomena on our planet, environmental issues, as well as future military space applications and power projections. Your outstanding consulting skills and comprehensive technical knowledge will guide clients as they make their way through the landscape of data science, tools, and frameworks. If you are motivated to address real-world challenges and contribute to defining data science strategy, there’s a place for you here. Your Required Qualifications: - 2+ years of experience in the professional or academic work environment with geo-spatial applications in data science, data analytics, software engineering, or machine learning engineering. - Proficiency in scripting languages such as Python, SQL, or R - Experience with geo-spatial data operations including buffering, overlay, and spatial joins, and with applying spatial statistical methods to uncover spatial patterns and trends - Experience in remote sensing, LiDAR, and analysis of satellite and overhead imagery - Familiarity with distributed programming languages such as Spark, GeoSpark, and large-scale geo-spatial data processing tools like Apache Sedona - Experience in extraction, transformation, and loading (ETL) processes and tools - Experience with cloud services, including AWS, Azure, or Google Cloud - Knowledge of managing and querying data using spatial databases such as PostGIS - Ability to obtain a security clearance - Bachelor's degree in Geographic Information Systems (GIS), Geosciences, Data Science or Computer Science Ideal Additional Qualifications: - Experience with data lakes, data warehouses, or data lake houses, and with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models - Experience with Agile development, C++, or Java - Experience with satellite operations, unmanned or autonomous systems - Experience working with the Department of Defense - Experience with CI/CD, including Git, Jenkins, Docker, and Kubernetes - Knowledge of software and tools used for image analysis or remote sensing - Knowledge of cuSpatial - Top Secret clearance - Master's degree in Spatial Data Science, Geosciences, or Geographic Information Systems Please note that selected applicants will undergo a security investigation and may need to meet eligibility requirements for access to classified information. Take this opportunity to join us and reap the benefits of a thriving career path, professional and leadership development opportunities, company-sponsored networking, mentorship programs, as well as wellness and employee benefit packages. You will work in a culture that values respect, equity, and opportunity that allows you to be your authentic self. We celebrate diversity and encourage collective ingenuity. We also prioritize employee well-being with offerings including inclusive health, life, disability, financial, retirement benefits, paid holidays and parental leave, and a generous 401(k). Full-time and part-time employees working at least 20 hours a week regularly are eligible for Booz Allen's benefit programs. Please note that compensation at Booz Allen is determined by various factors, including location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, contract-specific affordability, organizational requirements, and much more. The projected compensation for this position ranges between $73,100 and $166,000 annually. The position can be either remote or hybrid, with occasional needs to work from a Booz Allen or client site facility. At Booz Allen, we value human connections and prioritize flexibility and collaboration. We are an equal opportunity employer that empowers our people to fearlessly drive change – regardless of race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other condition protected by law. Join us. The world can’t wait.