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Data Scientist II

Company Name: Zurich
Location: Schaumburg, US-IL
Date Posted: 24th May, 2018
Description:

In particular, the Data Scientist II:

  • Partners with business stakeholders to translate business objectives into clearly defined analytical projects
  • Conducts exploratory data analysis, model development, model monitoring, and benefit estimation
  • Works with the business to develop and implement a strategy on how to use the predictive model for most impact
  • Establishes and maintains collaborative relationships throughout the organization
  • Demonstrates commitment to continuous education and personal development on areas of technical expertise and share knowledge with team members and business partners.

     

 

Qualification:

Basic Qualifications:

  • High School Diploma or Equivalent with 7 or more years of experience in Computer Science, Statistics or Mathematics and experience transforming data in the business analysis area

OR

  • Zurich Certified Insurance Apprentice including an Associate Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area

OR

  • Bachelor’s Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area

OR

  • Master’s Degree in Computer Science, Statistics or Mathematics and 3 or more years of experience transforming data in the business analysis area

OR

  • Ph.D. in Computer Science, Statistics or Mathematics and 0 or more years of experience transforming data in the business analysis area

Preferred Qualifications:

  • Advanced analytical and problem solving skills
  • Ability to develop actionable solutions to business challenges
  • Advanced knowledge of statistical and predictive modeling techniques such as machine learning, decision trees, ensemble learning, probability networks, association rules, regularized models, clustering, regression, GLMs, and neural networks and their application to business decisions
  • Demonstrated experience in one or more of the above mentioned statistical and/or machine learning techniques
  • Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction
  • Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction
  • Experience with programming and data mining tools such as R, Python, SAS, SQL, Hadoop, Hive, or Pig
  • Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to audiences at varying levels of analytic understanding
  • Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
  • Coach and provide technical advice and counsel within and outside operating unit.