Utilize analytical skills to transform complex data sets into actionable insights, collaborating with clients to address their needs and improve decision-making through data-driven solutions across various sectors.

Title: Geospatial Data Scientist Location: - Bedford, Massachusetts, United States of America - McLean, Virginia, United States of America United States Job Description: Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: MITRE’s Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE’s diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE’s internal research and development program, which provides funding for innovative applied research that addresses our sponsors’ hardest problems. Our department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you! Roles & Responsibilities: The successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field. Roles and responsibilities include: - Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives. - Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering. - Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches. - Build and test geospatial prototypes in MITRE, government, and commercial cloud environments. Basic Qualifications: - Bachelor’s degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree. - Minimum of 5 years of experience with a bachelor’s degree or 3 years of experience with a master’s degree, or a PhD with relevant hands-on experience using Geospatial data science techniques. - Top Secret clearance - Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python. - Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases. - Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data. - Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar. - Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB. - Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API. - Familiarity with geospatial data architectures and spatial database design and management, as well as containerization concepts. - This position requires a minimum of 50% hybrid on-site. - Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. Preferred Qualifications: - Active TS/SCI with polygraph. - Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline. - Minimum of 8 years of experience with a bachelor’s degree or 5 years of experience with a master’s degree, or 3 years of hands-on relevant experience using Geospatial data science techniques with a PhD. - Experience leading technical development tasks across multi-disciplinary teams. - Applied experience with other software development languages, e.g., C++, Java, C#, JavaScript. - Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona). - Applied experience with data architecture containerization concepts, e.g. Docker or Kubernetes. - Applied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar. - Applied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains. - Experience leading or conducting research. - Experience designing geospatial data science tasking and/or leading a team of geospatial data scientists. - Applied experience with developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API. - Familiarity implementing DevSecOps, DataOps, or MLOps in application development. This requisition requires the candidate to have a minimum of the following clearance(s): Top Secret This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Top Secret Salary compensation range and midpoint: $124,400 - $155,500 - $186,600 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

Data Scientist, Lead Location: Huntsville United States Job type: Hybrid Time Type: Full Time Job id: R0236649 Job Description: The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: - 8+ years of experience in data science or data analytics - Experience in Python and with using data science languages and tools, including Git, GitLab, or GitHub, JavaScript, HTML, and CSS - Experience designing, testing, and validating the quality of the data and data processes, and analyzing and reporting results with actionable insights - Experience in finding and designing new approaches to handling, analyzing, and using large volumes of data sets - Experience solving complex data and storage issues, such as issues with data handling, search, and retention - Experience designing improved data search processes and utilizing big data technologies - Knowledge of data science models to analyze large amounts of data and create valuable insights - Ability to lead or design ML, statistical analysis, and data analysis tasks - Top Secret clearance - HS diploma or GED Nice If You Have: - Bachelor's degree preferred; Master's degree a plus - Program Management Institute Agile Certified Practitioner (PMI-ACP) or Project Management Professional (PMP) Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. DRE1

• Advanced AI Solution Design & Architecture: Lead the technical design, development, and architecture of cutting-edge AI and Generative AI solutions. This includes selecting appropriate models (LLMs, diffusion models, etc.), designing data pipelines for AI training and inference, and architecting scalable and robust AI systems. • Strategic Client Engagement & Technical Advisory: Serve as a trusted technical advisor to national and international clients, guiding them from strategic planning stages through to the pilot and full-scale implementation of complex AI and GenAI projects. Confidently present and articulate Blend360's technical capabilities and the strategic implications of AI solutions to senior client stakeholders. • Technical Implementation & Oversight: Provide hands-on technical leadership and guidance throughout the entire project lifecycle, from proof-of-concept to pilot and full-scale production deployment. Ensure technical excellence, adherence to best practices, and the delivery of high-quality, performant AI solutions. • Thought Leadership & Innovation: Drive thought leadership in the evolving landscape of GenAI, large language models (LLMs), agentic AI systems, and emerging AI techniques. Research and evaluate new technologies, contribute to internal IP development, and publish insights that position Blend360 at the forefront of AI innovation. • Business Development Support & Technical Scoping: Actively participate in presales activities, providing deep technical expertise for proposal development, solution architecture, and technical scoping. Support the identification and capitalization on new business opportunities by demonstrating our technical capabilities and value proposition. • AI Strategy & Roadmapping: Collaborate with clients to understand their business challenges and translate them into actionable AI strategies and technical roadmaps. Develop bespoke GenAI solutions, facilitate seamless integration, and advise on organizational changes necessary for AI adoption. • Project Leadership & Execution: Lead and manage specific technical workstreams within complex projects, ensuring deliverables meet the strategic goals, technical excellence, and quality standards expected by our clients. Drive cross-functional collaboration with data scientists, machine learning engineers, and other specialists to ensure successful technical outcomes. • Service Evolution & Go-to-Market: Contribute to the continuous development and technical refinement of Blend360's AI and Generative Solutions offerings. Support go-to-market strategies by providing technical insights and expertise for effective positioning in the market.