Lynx Data Scientist (Senior)

Tysons Corner, VA 22033

Post Date: 06/16/2018 Job ID: 29861 Industry: Other Area(s)

Kavaliro is seeking a Senior Level Lynx Data Scientist in Tysons Corner, VA. 

• Expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data holdings

• Analyzes and models structured data using advanced statistical methods and implement algorithms and software needed to perform analyses

• Builds risk scoring models, recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data

• Performs machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods

• May be required to cluster large amounts of user generated content and process data in large-scale environments

• May be expected to apply their knowledge and programming skills working with technologies (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like SAS or R)

• Prototype, evaluate, and implement solutions to complex problems

• Evaluate and implement massive, scalable data stores, and optimize support for ad-hoc analysis across various data sources

• Current TS/SCI with Lifestyle Polygraph is required

• Experience using machine learning algorithms

• Prior experience with model and algorithm development and optimization

• Experience working with software engineers to implement and produce models and algorithms

• Understanding of cybersecurity operations and best practices

• Technical expertise/capabilities to perform database management (including evaluation, system analysis, and the design of complex applications)

• Strong knowledge of software engineering best practices and computer science fundamentals

• Experience analyzing customer needs, including participating in strategic planning, and ensuring solutions adopted are appropriate to meet objectives

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