Leidos - Gaithersburg, MD
posted 5 months ago
Leidos is seeking a Senior Data Scientist with TS/SCI clearance to join our dynamic team in Gaithersburg, MD. This role involves performing cutting-edge data analytics to support a major program that advances the state of the art in mission-focused big data analytics and predictive analytics. The successful candidate will be responsible for delivering advanced data science capabilities that contribute to national security objectives. This includes swiftly producing and analyzing results, disseminating findings, and contributing to presentations with actionable intelligence insights. In this position, you will work on projects that involve designing, developing, and deploying data science and machine learning capabilities and products. You will apply machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. While most of the work will be conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule, and some tasks may be performed remotely depending on client requirements and deliverables priorities. You will collaborate closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts. Your responsibilities will include designing, building, and optimizing a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. You will also analyze a variety of big data covering national security, cyber security, business intelligence, online social media, and human behavior. This role requires the ability to support multiple simultaneous projects, make discoveries that are mission-relevant, and effectively communicate findings to a non-technical audience. To excel in this role, you should bring a mix of intellectual curiosity, quantitative acumen, and customer focus to identify novel sources of data across various fields, improve the performance of predictive algorithms, and encourage user adoption of high-end data analytics platforms in partnership with a highly qualified and motivated team.