Senior Data Scientist

  • 36642
  • Non-Life - Data Science
  • |
  • Florida, United States
  • |
  • Jan 17, 2020
Insurance
RESPONSIBILITIES
  • Translate business problems into data science problems, determine criteria for evaluating success
  • Work with Big Data coming from numerous sources
  • Extract, clean, transform and process very large amounts of structured and unstructured data to prepare for data science initiatives (data wrangling)
  • Apply machine learning, time series and other data science techniques to forecast sales volumes, usage of products, membership benefits, etc.
  • Build deployable machine learning models that can support solutions for cross sell, sentiment analysis, improved customer experience, etc.
  • Research new machine learning solutions for complex business problems
  • Create data visualizations to illustrate findings in BI tools such as Tableau
  • Communicate findings to business partners and executives
  • Mentor junior Data Scientists
QUALIFICATIONS
  • A Bachelor’s degree in Computer Science, Statistics, or similar area of study; or in the alternative, a combination of education, certifications and work experience equivalent to a Bachelor's degree in Computer Science, Statistics, or similar area of study.
  • Master’s Degree in Computer Science, Statistics, or similar area of study preferred.
  • Prior experience collaborating with business managers on data science initiatives
  • Strong business acumen
  • Experience working in Agile-based teams
  • 5+ years’ experience with statistical modeling tools such as R, and scripting languages such as Python or Scala
  • 2+ years’ experience with applying machine learning techniques to real-world problems
  • 2+ years machine learning experience with supervised and unsupervised learning algorithms
  • 4+ years’ experience using statistical techniques including linear/logistic regression, decision trees and cluster analysis
  • 4+ years’ experience with advanced SQL queries
  • Experience working with unstructured data
  • Intermediate knowledge of big data technologies such as Spark
  • Familiarity with BI Tools such as Tableau, MicroStrategy, Data Studio, etc.
  • Experience with machine learning packages