Senior Data Scientist

ICF seeks an experienced and cleared Senior 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. This position will support a large federal cyber security analytic program. The 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 Senior Data Scientist, this role 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 using analytics to drive an 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 telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area (DMV).

What You Will Be Doing:

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
What You Must Have:

Active security clearance required as part of client contract requirement
US Citizenship required as part of client contract requirements
Bachelor’s degree with a minimum of 12 years or Master’s degree with 10 years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
Position requires a minimum of 10 years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering
Strong experience using a variety of mathematical, statistical, data mining, and data analysis methods/tools

Preferred Skills/Experience:

Experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
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
Practical experience with the Databricks Intelligence Platform
CompTIA Security+ or higher certification level preferred

#ICFNS