Data Scientist

  • 33546
  • Non-Life - Other
  • |
  • Quebec, Canada
  • |
  • 5 days ago
  • Transformation of complex data sets into meaningful conclusions and recommendation.
  • Develop novel and innovative solutions for pattern recognition using machine learning and statistical approaches.
  • Stay current on new approaches or opportunities, and bring them to the solutions you design.
  • Help maintain the expanding set of Data Mining tools and frameworks, including all prerequisite components and the add-ons.
  • Make actionable recommendations based on insights.
  • Communicate the Model Results and Performance to Management.
  • Work with other departments to drive adoption of analytical principles in the organization.
  • Quality assurance on the analytical approach and project output for other members of the team.
  • PHD or Master degree in a relevant subject (ie. Mathematics, Science, Engineering, Operational Research, Statistics , AI, Computer Science).
  • 3 years of experience on a Hadoop platform for data wrangling and data analysis.
  • Understanding of algorithmic complexity and scaling of run time and memory usage with larger datasets.
  • Experience tackling large data sets or familiarity with tools such as Hortonworks suite of tools
  • Cross-platform production experience with the following commercial and open-source Data Mining frameworks:
  • Hadoop platform: HPD, Ambari, Hive, Hbase, Yarn, Zeppelin.
  • Open-source frameworks: R, Python, Spark, Scala, TensorFlow or equivalent.
  • Expert-level understanding of the underlying Machine Learning theory.
  • Expert-level understanding of the Predictive Modeling Lifecycle.
  • Experience in Java development is a plus.
  • Fluency in applied analytical techniques including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines), collaborative filtering, k-nearest neighbors, association rules and other Machine Learning techniques.
  • Ability to concentrate on loosely defined problems which require application of creative approaches.
  • Strong communication, time-management, organization, and prioritization skills.
  • Understanding of Data science approaches in consumer research domains a plus.
  • Relevant P&C Insurance Industry Knowledge and Hands on Experience in these fields would be an asset.
  • Cooperative team player.