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Title:  Senior Data Scientist

 

Requisition ID: 854

The Digital Factory is an innovation hub with a clear and well-supported mandate to transform the way banking technology is delivered, by re-imaging the customer experience, to deliver new digital value propositions. We have the support and experience of one of the world’s largest banks behind us and a talented, and growing, team of industry leaders driving us forward.
Do you want to help us reinvent how people bank? At the Scotiabank Digital Factory, we are passionate about transforming the customer experience.

We’re looking to fill our team with influencers, makers, creators and leaders who are flexible, curious, adventurous, versatile and responsive; and who are ready to roll up their sleeves in a collaborative and productive environment to get things done.

By joining our team, you will make an impact on our customers, the banking industry, and ultimately, the world.

 

OVERVIEW

There has never been a better time to join Scotiabank as a Senior Data Scientist. The Senior Data Scientist role in the Decision Sciences team at Scotiabank is designed for a leader with an in-depth understanding of how to apply evolving tools and technology in analytics, with a curiosity for deriving insights out of data and applying them to address business opportunities.

 

WHAT’S IN IT FOR YOU?

  • Work with a team of data scientists who are dedicated to building analytics capabilities for the Digital Factory
  • 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
  • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs.

 

Responsibilities:

  • Coach a team of data scientists for analytics. This includes providing them guidance on how to work in an agile environment, infuse analytics in building solutions and transforming the Bank’s digital capabilities, determine the analytics tools and technology that should be applied in each solution and coaching the team as they work with colleagues from across the organization.
  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging Data Science
  • Work collaboratively with data engineers, UX designers, digital marketing team and agile coaches to define analytics requirements for every scrum and map out an end-to-end solution
  • Help find solution on what and how to 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

 

Requirements:

  • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics, Statistics)
  • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • Experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Kafka) and experience with NoSQL databases (e.g., Hbase, Cassandra, Druid)
  • Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g., cross-sell, upsell, attrition, acquisition and lookalike models)
  • Experience with common machine Learning libraries in R, Python, Spark
  • 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 like D3, Tableau or Qlikview

 

We thank all candidates; however only those candidates selected for an interview will be contacted.

Location(s):  Canada : Ontario : Toronto 

As Canada’s international bank, we are a leader when it comes to inclusion. Scotiabankers hail from over 120 countries, speak more than 100 languages and serve over 23 million customers globally. As a highly diverse company, we know that an inclusive environment for employees and customers helps everyone achieve their best. 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. Candidates selected for an interview will be contacted directly.  If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide a positive recruitment experience.


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