Wealthsimple
Toronto
201-500 employees
Powerful financial tools to help you grow and manage your money.
Other Open Roles
Prior Listings
- Data Scientist, Clients Algorithms
- Data Scientist, Growth Algorithms
- Data Science & Engineering Manager, Senior Manager
- Client Experience Data Analyst
- Senior Software Engineer - Data Engineering
- Data Scientist
- Senior Data Scientist, Growth Algorithms
- Data Scientist
- Senior Data Scientist, Natural Language Processing
- Data Science Internship (Fall 2022)
- Data Science Co-op (Winter 2022)
- Director of Data Engineering (Data Warehousing)
- Manager, Data Science - Credit
- Data Analyst
- Senior Data Scientist - Product Platform
- Analytics Engineer - Fraud
- Software Engineer, Data Engineering (Intermediate)
- Software Engineer – Machine Learning Platform
- Senior Data Scientist, Fraud
- Senior BI Analyst, Product FP&A
Data Scientist, Clients Algorithms
Data Scientist, Clients Algorithms
This job is no longer open
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.
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 face time, 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.
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
About the team
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse backgrounds in 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:
1. Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
2. Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
3. Using decision science to understand the cause and effect of our business decisions
About the role:
We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products.
As a Data Scientist on the Clients Algorithms team, you will play a pivotal role in improving the client experience and operational workflows that power our business. You will work closely with the client experience and the core operations team, a highly cross functional team consisting of full stack developers, product managers and operation specialists, to find new opportunities to enhance the client journey 🚀
In this role, you will have the opportunity to:
- Develop our client-facing chatbot to connect with our clients faster and improve client interactions
- Enable better client and operations decisions through data modelling, explorations and improving data accessibility
- Improve existing Machine Learning models for enhancing the client onboarding experience
- Collaborate with product management and engineering stakeholders to drive direction and strategy
- Collaborate with other scientists and engineers working on a variety of growth, fraud, NLP and deep learning problems
- Work with a large amount of autonomy
We are looking for someone who:
- Has 3+ years of strong SQL & Python skills coupled with experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
- Brings strong understanding of fundamental machine-learning algorithms: regression and decision trees
- Brings strong understanding of statistics: both frequentist and Bayesian approaches
- Has strong foundations in experimental design, statistics and domain knowledge in marketing
- Is an excellent communicator who is able to tailor our fraud fighting narrative to their audience
- Loves data to make better decisions and believes that simple is better
- Has experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau (this is a bonus!)
This job is no longer open