Senior Data Scientist

Company Name: RBC
Location: Toronto, ON, CANADA
Date Posted: 09th Feb, 2017
  • Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques
  • Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
  • Use deep business domain knowledge to independently lead the analytics process to identify valuable and innovative insights.
  • Create software packages that can be reused inside the enterprise.
  • Promote analytics across the enterprise to enable RBC to become a data-driven organization.




  • Masters or PHD in Mathematics, Statistics or Computer Science
  • 3+ years of experience with big data technologies - Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
  • 3+ years of experience in Machine-Learning, data mining and statistics.
  • Strong data profiling, cleaning, and mining.
  • Expert working knowledge of Python, R, Java and SQL
  • Familiar with a Linux environment and shell scripting.
  • Expert data extract, transform, and load processes with a variety of data types
  • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders.
  • Strong knowledge of design, development, and implementation experience utilizing data science technologies.
  • Excellent analytical and problem solving skills.
  • Expert technical documentation skills.
  • Familiar with a range of data tools.
  • Work experience with complex visualization of data.
  • Contribution to research communities including publishing papers.