Data Analyst

Herndon, Virginia 20170

Post Date: 04/11/2018 Job ID: 28592 Industry: Other Area(s)

Kavaliro is Currently Recruiting for: Data Analyst

Job Description:Client is currently seeking a Statistics Focused Data Scientist with experience in Risk-Based Modeling. This resource will build analytics and solution modeling logic within a variety of analytics tools and on a variety of big data platforms as required by the use case, and create robust documentation of solutions and underlying design decisions delivering project modeling work through direct ownership of data integration, validation, mining, and modeling, as well as communicating on use case deliverables. 

Responsibilities: 
  •   Define and develop risk-based analytic solutions for Client' s business needs 
  • Reviewing current risk-based analytic approaches and providing quality assurance expertise / recommendations for enhancement 
  • Provide statistical and mathematical support in assisting Fannie Mae to analyze and interpret a wide range of data to help Fannie Mae understand and improve current and future business solutions 
  • Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses 
  • Build risk scoring models, recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data 
  • Perform 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 
  • Cluster large amount of user generated content and process data in large-scale environments 
  • Serve as a developer and Subject Matter Expert (SME) in one or several of the above mentioned domains and help establish a competency in those cognitive areas for Fannie Mae 
  • Work closely with various Clientfunctional teams to incorporate advanced analytics models and algorithms into Fannie Mae’ s solutions and offerings 
  •   Model and algorithm development and optimization, working with software engineers to implement and productize the models and algorithms, engage in project specific activities as part of product development, as well as perform cognitive R&D work, develop tools and assets to support development tasks 
  •   Provide technical design and architectural support to multiple teams and projects to help ensure applications are integrated and adhere to stated architectural and design principles and standards 
  • Support efforts to architect, design, develop, and implement technology-enabled business and technical information solutions encompassing multiple specializations, platforms, and technologies 
  • Research, analyze, recommend and implement new analytic technologies, standard processes, tools and techniques to further the firm' s solutions offerings to support the business 
    Qualifications: 
  • Minimum of ten years’ experience of professional post-academic work preferably with a Ph.D. or MS in Computer Science, Applied Statistics, Engineering, Mathematics, Physics or other quantitative discipline with specialization 
  • Strong mathematical background with exemplary knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval 
  • Financial Services and Mortgage Lending domain knowledge 
  • Proficiency in programming languages (e.g. R, Python, Java, Scala) and ability to deploy tools 
  • Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. Hadoop, Spark) 
  • Expert knowledge of algorithms and data structures 
  • Experience leading project teams and people as well as executing independently 
  • Excellent verbal and written communication skills with the ability to work with diverse teams in a highly matrixed environment
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