Senior Data Scientist
Toronto, Ontario
Applications have closed
Wealthsimple
Wealthsimple is the simple way to grow your money like the world's most sophisticated investors. No-maintenance portfolios, expert investment advisers and low fees.Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.
We’re a remote-first team and output is more important than facetime, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us Read our Culture Manual and learn more about how we work.
About the team:The Fraud Data Science team consists of data scientists with diverse educational backgrounds such as physics, computer science, engineering and business. The team is responsible for developing ML models to prevent fraud losses.
About the role:We are looking for a Senior Data Scientist who has strong foundations in data modeling and statistics. Some of your projects will include, but not limited to: modeling fraud data, developing, improving, maintaining, and monitoring ML models. Our models are to solve real business problems. Therefore, a deep understanding of the fraud domain is crucial.
In this role, you will have the opportunity to:
- Build and maintain new data models that are accurate and reliable.
- Define, prototype, and implement ML models.
- Design experiments to test hypotheses (e.g. what is the cost of false positives).
- Build/maintain reports, dashboards, and metrics to monitor the performance of our ML models.
- Teach and learn from their teammates. We value making others successful.
Skills we are looking for:
- Excellent Python & SQL skills.
- Strong understanding of statistics: both frequentist and Bayesian approaches.
- Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting.
- Strong understanding of fundamental machine-learning algorithms: regression and decision trees.
- First hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter.
- Excellent communicator who is able to present results and analysis to senior leadershipExperience in managing team members in a formal or informal capacity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Bayesian Computer Science Engineering Jupyter Machine Learning ML models NumPy Pandas Physics Python Scikit-learn SQL Statistics Testing
Perks/benefits: Career development
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