Job Description
About the team:
The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple.
We achieve these goals by:
-Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
-Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
-Using decision science to understand the cause and effect of our business decisions
About the role:
At Wealthsimple, our Investing teams are the driving force behind Self Directed Investing and Managed Invest products. We are hiring for an experienced data scientist to join our Investing DSE team. This individual will work on some of the highest priority initiatives at Wealthsimple, ensuring that our product strategy is well grounded in data analytics.
Some of your projects may include, but are not limited to:
Analyze user behaviour to understand how clients interact with the productDevelop and implement experiments to evaluate new features and product changes Apply causal inference methods in non-experimental settings Use machine learning algorithms to segment users and personalize product experiences Develop and maintain core data models and pipelines to ensure data quality and accessibility In this role, you will have the opportunity to:
Partner with our Product, Product Marketing, and Engineering teams to support work across some of Wealthsimple's highest priority effortsBuild robust, efficient, and integrated data models in cloud data warehouses that will be used as the source of truth for analytics across the Investing product organizationApply statistical techniques and build machine learning models to solve real life product problems and to inform product decisions and strategies Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friendTake ownership and ship it Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada)Skills we are looking for:
Strong business acumen and product senseExcellent Python and SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and JupyterStrong understanding of statistics: both frequentist and Bayesian approachesStrong understanding of fundamental machine-learning algorithms: regression and decision trees We are looking for someone who:
Is able to articulate their stance in a manner that effectively collaborates with different stakeholdersAdjusts quickly to changing priorities and effectively manages complexity and change Has exceptional communication skills and is able to communicate effectively with both technical and non-technical teamsIs eager to teach and learn from your team. We value making each other successful Is a lifelong learner. You're constantly seeking and welcoming feedback to continue improving yourself and your craft
