Senior Data Scientist

Company Name: CIBC
Location: Toronto, ON
Date Posted: 15th Nov, 2017

Job Responsibilities

  • Conduct guided and self-directed research, typically using non-traditional resources to solve business problems
  • Conduct detailed analysis of data sets, incorporating machine learning and statistical methods and models
  • Provide advanced analytics using various advanced analytical techniques including statistical modeling (including model programming and coding), predictive modeling and machine-learning  
  • Participate in gathering and analysis of relevant information related to business processes, functions and operations to evaluate data credibility
  • Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise
  • Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices
  • Utilize creative thinking to modify or select the most suitable procedure/approach that results in providing CIBC operations with optimum solutions to business and technology issues/challenges
  • Perform in-depth analysis of research information for the purpose of identifying opportunities, developing proposals and recommendations for use by management
  • Document findings of research, analysis and calculations
  • Make recommendations and create presentations on new ways to use data to help solve business problems

Qualifications -

  • Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
  • M.S. or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics or related quantitative field
  • Research experience in the fields of machine learning, deep learning or natural language understanding would be of particular interest
  • Must have experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, MapReduce, Hive).
  • Must have experience coding in high level programming languages such as Python or R
  • Must have experience coding with data modelling packages such as Pandas, Scikit-Learn
  • Must have excellent analytical skills and attention to detail
  • Must have strong problem solving skills and ability to break down complex problems and concepts and think creatively
  • Must have strong interpersonal and communication skills
  • Must have strong written and presentation skills
  • Understanding of financial services is also advantageous