Lynx Data Scientist (Senior)

Tysons Corner, VA 22033

Posted: 06/16/2018 Industry: Other Area(s) Job Number: 29861

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

 
Apply Online
Apply with LinkedIn Apply with Facebook Apply with Twitter

Send an email reminder to:

Share This Job:

Related Jobs:

Login to save this search and get notified of similar positions.