Data Scientist - Toronto, Canada - Scotiabank

Scotiabank

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Requisition ID: 179847

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

Scotiabank provides a collaborative work environment where you get to see end-to-end how your work can shape and define strategies.

We will provide you the opportunities to gain exposure to different businesses across the organization, a wide variety of analytical tools that will allow you to build complex decision engines and predictive models, work with big data, structured and un-structured.

What will you do in this role?

Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer's experiences across various channels and move to a personalized 1:1 customer journey
Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customerfirst approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements
Supporting key information technology initiatives, such as enhancements in single view of customer, customer/ channel data warehouse, CRM and campaign management tools
Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem

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

Analytical background: preferably Master or PhD degree with a quantitative focus, such as statistics, applied mathematics, economics, computer science
5 years of related experience needed, preferably within a financial, retail or consulting industry, customer segmentation and channel analytics an asset
Demonstrated experience of developing and implementing statistical models (predictive & descriptive) and advanced analytics with handson experience with Python, SAS and Google Cloud Platform (BigQuery, Looker and Vertex AI etc.)
Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
Experience with Bash/Unix Shell Scripts with Python/Docker/Airflow used for automating tasks
Familiar with containerbased deployments using Docker, working with Docker images, Docker Hub and Dockerregistries and Kubernetes.
Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
Demonstrated experience developing and implementing recommendation engines in a multichannel marketing environment an asset
Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective
Selfmotivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior

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
You'll get to work with and learn from diverse industry leaders
We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), 4 weeks of vacation, personal & sick days, paternity/maternity leave topups and much more.

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.