Data Scientist, Growth Algorithms

Data Scientist, Growth 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.

Data Science & Engineering @ Wealthsimple
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

More 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 Growth Algorithms team, you will play a pivotal role in helping grow the number of clients using and loving Wealthsimple’s products. You will work closely with the Growth Marketing team, a highly cross functional team consisting of full stack developers, designers, product managers and growth specialists, to find new opportunities to grow Wealthsimple 🚀

In this role, you’ll have the opportunity to:

    • Develop experimentation strategies to optimize the client onboarding funnel
    • Work on probabilistic lead scoring models to understand likelihood to adopt various Wealthsimple products
    • Work on segmentation and personalization to create an individualized client onboarding experience
    • Release incrementally and iteratively
    • Take ownership and ship it!
    • Teach and learn from your team. We value making others successful!

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
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