What are the responsibilities and job description for the Data Scientist - TS/SCI position at SCOUT Solutions?
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
Preferred Qualifications :
