Senior Data Scientist

  • 36001
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Oct 10, 2019
Insurance
RESPONSIBILITIES
  • Develop and implement models to support divisional strategy and business pillar initiatives.
  • Lead, manage and deliver advanced analytics solutions through consulting type engagements with internal business clients.
  • Perform requirement analysis with business area.
  • Build, test, deploy and iteratively improve models.
  • Calculate model impact/ROI and communicate value added to stakeholders.
  • Implement measurement and documentation framework against all project work.
  • Generate insights for businesses so that they clearly recognize the quantifiable value considering trade-offs between and among choices.
  • Enable those who are not professional data analysts to effectively interpret data through effective communication of results and analytics outcomes.
  • Provide thought leadership around analytics methodology, tools, and measurement.
  • Innovate and find creative ways to source data to support modeling efforts, leveraging structured and unstructured data using Big Data technologies.
  • Peer review other Data Scientists’ work.
QUALIFICATIONS
  • Advanced degree in Statistics, Math, Computer Science, Engineering or other related discipline.
  • Minimum of 5 years of experience specifically in statistical/data analysis and data mining, predictive modeling, machine learning, optimization.
  • Proficient in Python or R.
  • Working knowledge of SQL, Python, Java.
  • Familiarity with Hadoop ecosystem.
  • Extensive experience in debugging and solving performance issues when dealing with terabytes of data.
  • Demonstrated data transformation and manipulation experience.
  • Insurance/financial Services experience desired.
  • Experience with analysis of unstructured data desired.
  • Proven track record of delivering innovative analytical insights to a variety of customers.
  • Strong commitment to organizational success and teamwork.
  • Adaptable and open to change with strong collaboration and presentation skills.
  • Familiarity with Agile methodologies.