Senior Data Scientist (Security Clearance Required)
About The Position
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).
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
