Title:  Data Science Manager

Requisition ID: 221477

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Data Science Manager contributes to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives.  Ensures all activities conducted are within compliance of governing regulations, internal policies, and procedures.

Is this role right for you? In this role you will:

• Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
• Leverage distributed computing tools (e.g. Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
• Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
• Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
• 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
• Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
• Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

Do you have the skills that will enable you to succeed in this role?  We’d love to work with you if you have:  

• Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
• Experience with machine learning, statistical techniques, as well as model testing and validation
• Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
• Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
• Programming skills in Python, Java or Scala
• Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
• Experience with UNIX tools and shell scripting preferred
• Expertise with Docker or Kubernetes is an asset
• Experience with various services on Google Cloud Platform is an asset
• Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
• Experience with Deep Learning architectures like RNNs and CNNs is an asset
• Experience using and implementing visualization tools is an asset
• Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
• Experience working with cross-functional team in an Agile environment is an asset

What’s in it for you?

• A rewarding career path with diverse opportunities for professional development
• A culture that promotes teamwork and cross-functional collaboration to achieve business goals. Inclusive workplace that values diversity of thought, background, and experience
• A competitive compensation and benefits package
• An organization committed to making a difference in our communities – for you and our customers.
• Hybrid work environment allowing for work/life balance

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, 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.