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Cleared Data Scientist
We are looking for an experienced Data Scientist with exceptional skill to develop machine learning and deep learning models and algorithms that create useful and actionable insight for customers. The ideal candidate should be someone who is strong mathematically; can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from the large data sets. The ideal candidate must have strong experience using a variety of mathematical/statistical/data mining/data analysis methods and tools. 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.
Ability to perform knowledge elicitation from customer subject matter experts and convert that to rigorously derived algorithms
Analyzing large data sets to identify actionable insights with mathematical and statistical rigor
Ability to rigorously critique and correct intermediate results to improve the algorithmic outcomes.
Designing and deploying deep learning algorithms and predictive models
Developing custom data models and algorithms to apply to data sets
Assessing the effectiveness and accuracy of new data sources and data gathering techniques
Developing processes and tools to monitor and analyze model performance and data accuracy
Ability to interpret and communicate results to non-technical customers.
Bachelor's in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related areas
10 years of hands on 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
US Citizenship Required as part of Federal Contrac
Active SCI Clearance Required
Masters Degree preferred
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 also NLP, Graph Theory, and Network Analysis
Fluency in one or more programming languages (Python, Java, R, etc.)
Experience with statistical data analysis, experimental design, and hypotheses validation
Experience with database querying like using SQL. Readiness to collaborate with engineering teams, project teams and customers to develop prototypes and software products
Working at ICF
Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth.
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.
COVID-19 Policy: New or prospective U.S. employees must provide proof of complete vaccination on the date of their commencement of employment. If selected for employment, you will provide proof of your full vaccination status, defined as vaccinated two weeks after receiving the requisite number of doses of a COVID-19 vaccine approved or authorized for emergency use by the FDA.
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 email@example.com 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 non-discrimination: EEO is the law and Pay Transparency Statement.
Virginia Client Office (VA88)