ICF International seeks an experienced 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. The successful cleared candidate will act as a Senior 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 a Senior 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. 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 high-level security clearance required as part of client contract requirement US Citizenship required as part of client contract requirements Bachelor’s or Master’s degree with 5+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field 10 or more 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 3 or more years of experience using a variety of mathematical, statistical, data mining, and data analysis methods/tools 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 Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world’s toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy . Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights , the Pay Transparency Statement , or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Pay Range – There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position is: $105,353.00 – $179,101.00 Virginia Remote Office (VA99) #J-18808-Ljbffr
statistics Artificial intelligence (AI) Establishing interpersonal relationships Data Querying Languages Computer Science CompTIA Security+ validation programming-languages data-modeling deep-learning Machine Learning graph-theory text-mining network-analysis Natural language processing (NLP) Data Analyst Data Science Python recommendation-systems Predictive models R JavaScript Applied Mathematics experimental-design SQL information-retrieval algorithms SAFe