Role details

Data Scientist

Toronto   •  Permanent

Bullet points

  • Design building solutions and technologies
  • A leading global bank

About Our Client

A leading global bank

Job Description

The types of projects data scientists are responsible for include the following:

  • Using machine learning and other data mining techniques to get insights from massive datasets, such as identifying fraud rings
  • Understanding what problems create consumer calls through data mining interaction records - Analyzing online banking patterns
  • Mining vast amounts of data to identify trends in credit risk
  • Using a combination of quantitative analysis and statistical methods to develop strategic insights and recommendations to optimize products or programs
  • Adapt the latest technologies in modeling and data mining to design scientific tests to maximize dollars spent on new initiatives and marketing channels
  • Build statistical models to form the foundation of business decisions and regularly monitoring the performance of those models so that corrective action can be taken

The Successful Applicant

  • Bachelors Degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline
  • At least 1 year of experience analyzing and manipulating large data sets using tools such as SQL or Python
  • At least 1 year of experience with statistical analysis and data mining using tools such as R, SAS, Matlab, Stata, or SPSS
  • Familiar with Linux/Unix environment, with Git, AWS, or APIs - Familiar with Hadoop, Hive, or MongoDB knowledge
  • Excellent verbal and written communication skills

What's on Offer

A competitive package

Apply for this job

Click the Apply or LinkedIn button below or contact Adam Lorenti quoting job reference 1187018
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