Description
ICF International seeks an experienced Data Scientist to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Scientist to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate. Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.
As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms. The ideal candidate is strong mathematically, can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from large data sets. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis.
This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!
This role is primarily remote / telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area.

PREFERRED SKILLS/EXPERIENCE:

• Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
• Experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful deliverables
• Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis
• Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
• Experience with statistical data analysis, experimental design, and hypotheses validation
• Experience with database querying like SQL
• Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
• Scaled Agile Framework (SAFe) experience
• CompTIA Security+ or higher certification level
  

  clearance

• Perform knowledge elicitation from customer subject matter experts and convert that to derived algorithms
• Analyze large data sets to identify actionable insights with mathematical statistical rigor
• Rigorously critique and correct intermediate results to improve the algorithmic outcomes
• Design and deploy deep learning algorithms and predictive models
• Develop custom data models and algorithms to apply to data sets
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Interpret and communicate results to non-technical customers