Senior Data Scientist, Growth Algorithms

Senior Data Scientist, Growth Algorithms

This job is no longer open
Wealthsimple is a financial services company on a mission to help everyone achieve financial freedom by providing products and advice that are accessible and affordable. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost.

With over 1 million people using Wealthsimple products, we are the market leader in Canada, and we’re fast growing in the US and UK. Our team is working together to build one of the most innovative fintech companies in the world and we're looking for talented people who want to help us move fast, ship often and make a huge impact. Join us on our mission to make financial services simple and affordable for everyone!

Read our Culture Manual to learn more about us and how we work.

Data Science & Engineering
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse 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:
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 understand incremental return on ad spend across various performance marketing channels
    • Work on probabilistic modelling to understand churn risk over a lifetime of a Wealthsimple client
    • Work on media mix modelling to understand relationship between brand media, offline channels, and digital channels on client growth
    • Take ownership and ship it 🚀
    • Release incrementally and iteratively
    • 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
    • Has experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau (this is a bonus!)
At Wealthsimple, we embrace difference. We believe that getting to the best outcomes requires diverse perspectives and backgrounds. We create space where all voices can be heard so that we can all do our life's best work. We’re committed to openness, curiosity and creating an inclusive culture as we know that diverse teams build better products and generate better ideas. 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.
This job is no longer open
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