Data Scientist
Location: Bethesda, MD (Hybrid Remote)
Security Clearance: active TS clearance and must be able to achieve a TS/SCI clearance with CI polygraph.

We are looking for a dynamic Data Scientist who is passionate about pioneering advanced data analytics and supporting a major program that drives forward the frontier of mission-focused big data analytics and predictive analytics. If you are eager to play a pivotal role in delivering cutting-edge data science capabilities that propel national security objectives, swiftly analyzing results, disseminating insights, and shaping presentations with actionable intelligence, we want to hear from you. As a successful candidate, you'll be immersed in projects aimed at conceptualizing, developing, and implementing data science and machine learning solutions. Our team engages in both research and development initiatives and mission-critical applications, leveraging machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to build and refine ML models. While the primary work setting is our Leidos office in Arlington, VA, or client location in Bethesda, MD, we offer a flexible schedule, and occasional remote work opportunities are available depending on project demands. Join our award-winning organization and collaborate with some of the most talented professionals in the GovCon industry.

Responsibilities:

• 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.

Requirements

• B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or master's degree or equivalent graduate degree including certificate-based advanced training courses.
• 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a master's or an additional 4 years of experience in lieu of a degree.
• Must be a U.S Citizen.
• Must have an active TS/SCI clearance and must be able to achieve a 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.

Preferred Qualifications:

• 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.