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Title:  Senior Data Scientist

 

Requisition ID: 17519

 

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.

 

About the Senior Data Scientist

There has never been a better time to join Scotiabank as a Senior Data Scientist. The Senior Data Scientist role in the Applied Analytics 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 for the Digital Bank.

 

What will you do in this role?

  • Collaborate with Digital Bank 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

 

Are you the right person for the role?

  • You are not afraid to challenge the status quo
  • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
  • You are able to pivot and adapt to change
  • You spend your free time tinkering with new technologies or building apps on the side
  • You want to find a solution to real life problems that will flip the multi-billion dollar financial industry on its head
  • You have a high aptitude for diving in, taking ownership and picking up new things
  • You're eager to mentor, teach and share your ideas in a team environment
  • You have open and transparent communication, including the ability to distil technical details into human terms

 

Do you have the skills that will enable you to succeed?

  • You have a university degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics, Statistics)
  • You have experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Kafka) and experience with NoSQL databases (e.g., Hbase, Cassandra, Druid)
  • You have production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g., cross-sell, upsell, attrition, acquisition and lookalike models)
  • You have experience with common machine Learning libraries in R, Python, Spark
  • You have experience with Natural Language Processing
  • You have experience with UNIX tools and shell scripting
  • You have solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
  • You have experience using and implementing visualization tools like D3, Tableau or Qlikview

 

What's in it for you?

  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • We provide you with the tools and technology needed to succeed
  • Dress codes don't apply here, being comfortable does
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
  • You’ll get to work with a team of data scientists who are dedicated to building analytics capabilities for the Digital Factory
  • You will have exposure to different business lines where analytics techniques are being applied
  • You will get hands-on practical experience and the opportunity to gain new knowledge and develop new skills
  • This isn't your typical "corporate" job. We work hard and we have fun!
  • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), continuing education programs, 4 weeks of vacation, personal & sick days, paternity/maternity leave top-ups and much more.

 

If you’re interested in helping us shape the future of banking, click the “Apply now” button to submit your application. We are hiring for a variety of high impact technical roles (design/agile/full stack/DevOps). If you are curious but aren’t sure this role is right for you please contact us anyway - we’re moving fast and looking for hard-working and innovative individuals to take us to the next level.

 

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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