Lead Data Scientist

  • 36641
  • Non-Life - Data Science
  • |
  • Florida, United States
  • |
  • Jan 17, 2020
Insurance
RESPONSIBILITIES
  • Identify business problems which can be solved through Artificial Intelligence, determining 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
  • Train and mentor other 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.
  • Experience working with Executives on data science initiatives.
  • Experience leading Agile-based project teams.
  • 8+ years experience with statistical modeling tools such as R, and scripting languages such as Python or Scala.
  • 3+ years of experience with applying machine learning techniques to real-world problems.
  • 3+ years of the machine learning experience with supervised and unsupervised learning algorithms.
  • Strong understanding of big data technologies such as Spark. Familiarity with BI tools such as Tableau, MicroStrategy, Data Studio, etc. Expertise with machine learning packages.