Senior Data Scientist

Job Summary

GA-CCRi was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!

GA-CCRi is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them.
DUTIES AND RESPONSIBILITIES:

• Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement.
• Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
• Communicate insights and findings from analysis and experiments to product, service, and business managers.
• Recommend solutions to moderately complex technical and procedure issues.
• Identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action
• Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.
• Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.
• Represent the organization as a contact with internal and external representatives.
• Maintain the strict confidentiality of sensitive information.
• Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

• Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education.
• Willing to obtain Top Secret/SCI clearance with CI Poly
• Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts.
• Must be able to work both independently and in a team environment.
• Able to work extended hours as required.

PREFERRED SKILLS AND EXPERIENCE:

• Active TS/SCI Clearance with CI Poly
• Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc)
• Proficiency in one or more of: Python, Scala, Java, R, Julia, Matlab
• Ability to understand and implement new models from the literature
• Experience with distributed analytics and processing (Spark, Hadoop, ...)
• Experience with geospatial data and analytics.
• Experience with Kalman Filtering
• Familiarity with Intelligence Community and DoD mission sets.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.