Specialist Data Science

  • 37076
  • Non-Life - Data Science
  • |
  • Ohio, United States
  • |
  • Mar 18, 2020
Insurance
RESPONSIBILITIES
  • Responsible for creating, packaging, and communicating analytic work using appropriate medium for relevant insights, including impactful story line and applicable data visualizations.
  • Responsible for effectively synthesizing own project work.
  • Participates in the delivery of analytic work that supports business objectives and priorities.
  • Plans and manages execution of own work, participates in planning, and delivers on commitments.
  • Applies appropriate quantitative techniques and methods to solve business problems.
  • Responsible for building analytic applications using statistical, database, and/or general programming languages and tools.
  • Performs other duties as assigned.
QUALIFICATIONS
  • Undergraduate studies with post graduate studies preferred.
  • Typically 3 or more years related experience with SAS, SPSS and other statistical software.
  • Experience with problem solving in a business environment; working with large customer and/or prospect databases; working with product, geographic, demographic data to identify trends and opportunities.
  • Experience with financial services or related industry.
  • Consulting experience, knowledgeable and experienced with the core functions of an organization experience with process design and mapping and continuous improvement.
  • Possesses core statistics skills including an understanding of probability and its application to the analysis of data.
  • Able to evaluate sources of variation and identify influential factors/features.
  • Experienced with statistical process control, process monitoring and diagnostics.
  • Modeling and Machine Learning: Experienced with advanced mathematical modeling techniques including both supervised and unsupervised learning algorithms.
  • Proven experience building practical solutions using predictive modeling.
  • Demonstrated knowledge of and experience with design of experiments.
  • Ability to understand business systems and the data produced by them.
  • Demonstrated experience structuring and solving complex business problems.
  • Ability to translate analytic findings into actionable communications.
  • Ability to communicate effectively in a variety of mediums with any audience.
  • Capable of developing compelling stories and distinctive data visualizations Working knowledge of statistical software including R, SAS, SPSS, Mat Lab, etc. as well as Teradata, Oracle, DB2, SQL Server, Netezza, etc. Understands data structures operational vs analytical data structures, normalization, etc. and SQL Assistant, WinSQL, and Toad, etc.
  • Knowledge of general purpose programming languages including domain specific languages, static and dynamic languages, application design and development, test driven development, and agile practices.