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Data Scientist

Date: Mar 16, 2019

Location: Toronto, ON, CA

Company: Scotiabank





Requisition ID: 53401


Join the Global Community of Scotiabankers to help customers become better off.



The Data Scientist role in the Artificial Intelligence and Machine Learning team at Scotiabank is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities.



  • Exposure to different business lines where analytics techniques are being applied
  • Assignment in hands-on practical projects which provide an opportunity to gain new knowledge and develop skills
  • Ongoing training and learning program with resources like books, conferences and networking with Subject Matter Experts at Analytics User Groups organized by Decision Sciences
  • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs. 



  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging Data Science
  • Ingest massive volumes of structured and unstructured format data, model, transform and store it in variety of data stores
  • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling
  • Collaborate with Data engineering and operational teams to deploy models and algorithms in production, across different channels and customer platforms
  • Create and apply model and algorithm testing strategies to measure conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
  • Present results to business line stakeholders and help implement real data-driven changes



  • Master or PhD in Computer Science, Statistics or Mathematics or similar fields. Ideal Candidates will have 2+ years of hands-on experience
  • Experience with machine learning and statistical techniques and model testing/validation
  • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • Excellent analytical and problem-solving skills
  • Hands-on experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Kafka) and experience with NoSQL databases (e.g., HBase, Cassandra, Druid)
  • Programming skills in Python, Java or Scala
  • Experience with UNIX tools and shell scripting
  • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
  • Experience using and implementing visualization tools


Nice to have:

  • Strong knowledge of design, development, and implementation experience utilizing data science technologies.
  • Experience with various services on Google Cloud Platform
  • Experience deploying models into productions as Rest APIs, batch jobs or dashboards.
  • Experience with Deep Learning architectures like RNNs, LSTMs, CNNs
    Experience implementing Service Oriented Architectures.
  • Expertise with Docker or Kubernetes.
  • Passion for writing high-quality, maintainable and robust code.

Location(s):  Canada : Ontario : Toronto 

As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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