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Overview BigBear.ai is seeking a Data Scientist to support the National Media Exploitation Center. This position will be based out of Bethesda, MD and will offer some partial remote flexibility (Hybrid). This role requires an active TS and the ability to obtain and maintain an SCI w/Poly. The Data Scientist will perform cutting edge data analytics, supporting a major program advancing the state of the art in mission-focused big data analytics and predictive analytics. This role will be delivering advanced data science capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights. The successful candidate will work on projects to design, develop, and deploy data science and machine learning capabilities and products. The team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. While most work is conducted at the client location in Bethesda, MD (with some work requirements in Arlington, VA), we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables priorities. What you will do Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.  Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.   Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience. Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.   Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement.   What you need to have Bachelor’s or equivalent and 6 years of experience or 9 years relevant experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. Must have an active TS clearance and must be able to achieve a TS/SCI clearance with CI polygraph. Proficiency in one or more scripting languages such as R or Python. Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms. Previous experience performing research and development in data analytics or big data. Track record of active learning and creative problem solving. Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions. What we'd like you to have A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Significant experience with knowledge graphs and related technology such as neo4j. Significant experience with databases such as SQL, NoSQL, and specifically Elasticsearch. Experience blending analytical methodologies and leveraging existing COTS/GOTS/FOSS tools in an unconventional manner. Familiarity utilizing containerization and container orchestration technology and approaches such as Docker and Kubernetes in development and deployment environments. Familiarity using git, dvc, mlflow, and other version control technologies. Experience with Amazon Web Services (AWS/C2S). Familiarity with optimizing machine learning software to take advantage of GPUs. Experience creating dashboards and prototype web applications with technologies such as Kibana, Apache Superset, Streamlit, Gradio, Plotly Dash, etc. Experience writing REST and gRPC APIs in technologies such as FastAPI, Flask, etc. About BigBear.ai BigBear.ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. BigBear.ai’s customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai’s solutions to see and shape their world through reliable, predictive insights and goal-oriented advice. Headquartered in Columbia, Maryland, BigBear.ai is a global, public company traded on the NYSE under the symbol BBAI. For more information, please visit: http://bigbear.ai/ and follow BigBear.ai on Twitter: @BigBearai.