Data Scientist

Scotiabank • Toronto, ON

3d • Onsite

About The Position

As part of the Advanced Analytics & Modeling team, the Data Scientist is responsible for executing and enhancing existing modeling frameworks with transparent use of enterprise-level data, AI/ML resources and advanced analytics in line with stakeholder priorities. The incumbent will support key projects in a quick pace environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with Analytics teams, business lines and technology to apply advanced analytics techniques and tools, as well as explore ideas to enhance business opportunities utilizing advanced analytics and artificial intelligence.

Requirements

• 2 years of programming skills in Java, C++ or Python
• 2 years of working experience with Python, SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
• Solid knowledge in machine Learning libraries in R, Python, Spark
• University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering and Mathematics)
• Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g. cross-sell, upsell, attrition, acquisition and lookalike models)
• Ability to ingest and work with large volumes of structured and unstructured non-traditional data
• Working experience with machine learning and other AI techniques for strategy design
• Strong collaboration skills with ability to translate technical knowledge into business value

Nice To Haves

• 2 years of working experience using visualization tools such as Tableau and Power BI would be an asset
• Working knowledge of strategy optimization leveraging operations research principles would be an asset

Responsibilities

• Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems
• Design, develop, and implement end-to-end machine learning production pipelines (data exploration, cleaning, feature engineering, model building, and performance evaluation) and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
• Apply statistical, analytical and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.
• Prepare detailed documentation to outline data sources, models and algorithms used
• Expert in analyzing large, complex multi-dimensional datasets in structured and unstructured format.
• Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.
• Collaborate with Data engineering to deploy models and algorithms in production, across business lines and geographies
• Present results to business line stakeholders and help implement real data-driven changes
• Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in all business lines through advisory, training and scalable solutions
• Support analytical use-case delivery, as well as customer/financial benefits tracking and communication
• Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

Benefits

• Diversity, Equity, Inclusion & Allyship
• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Community Engagement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level