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Data Scientist
Ref No.: 17-02812
Location: Delaware, Delaware
Position Type:Contract
Pay Rate : $ 100.00 - 120.00 /Hour
Data Science team charged with designing and implementing processes related to predictive / analytical modeling, data mining, and research on large scale, complex data sets, using statistical, machine learning, graph modeling, text mining and other modern techniques. This individual is also responsible for planning, leading/collaboration with various internal and vendor teams, project managing the lifecycle of an analysis project, and provide periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously.

Responsibilities:
  • Develop and plan required analytic projects in response to business needs.
  • Develop new predictive / analytical modeling methods and/or tools as required.
  • Work with business domain experts to understand the business strategy and process in order to convert a business problem into an analytics solution.
  • Collaborate with business domain experts and application developers to identify data relevant for analysis.
  • Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
  • In conjunction with data owners and department managers, contribute to the development of data models for analytics.
  • Contribute to predictive / analytical modeling architectures, modeling standards, reporting, and data analysis methodologies.
  • Contribute to recommendations on predictive / analytical modeling products, services, protocols, and standards in support of procurement and development efforts.
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems.
  • Apply quality assurance best practices for predictive modeling/analytics services. Specify the Data Quality standards.
  • Adhere to change control and testing processes for modifications to analytical models.
  • Identify, Diagnose and Resolve predictive / analytical model performance issues. Monitor predictive / analytical system performance and implement efficiency improvements.
  • Manage and/or provide guidance to junior members of the team.
  • 10+ years of working in large and medium project teams, as a contributing member in self-directed roles.
  • 6+ years of intensive, recent, experience with developing predictive / analytical modeling techniques, theories, principles, and practices. Specific experience in more than one of: machine learning, statistical modeling, graph modeling and text mining techniques.
  • Excels with executive communication, and synthesizing large amounts of data into elegant business insights that drive actionable strategies
  • Experience in implementing scalable algorithms in Hadoop, HBase, or Cassandra. Experience implementing algorithms like Montecarlo simulations running HPC grid like Datasynapse or Platform.
  • Extensive experience with one of more programming language like Java, R or Python
  • Excellent knowledge of data mining / predictive modeling tools such as SAS, SPSS, R, etc.
  • Strong familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation, variable selection, etc.
  • Oriented to machine learning / graph learning, exposure to developing / implementation of algorithms for data mining.
  • Ability to conduct research into predictive / analytical modeling issues, practices, and products as required.
  • Consumer and/or Commercial Banking experience preferred.
  • Degree in the fields of computer science, statistics, or operations research. Advanced degrees preferred.
Third Party Applications Not Accepted