Senior Data Scientist - Product

January 31

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Wealthsimple

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Powerful financial tools to help you grow and manage your money.

wealth manager • financial advisor • investment manager • portfolio manager • investment adivsor

501 - 1000

💰 Private Equity Round on 2021-05

Description

• Is able to articulate their stance in a manner that effectively communicates why a solution could be the best way forward. • Adjusts quickly to changing priorities and effectively manages complexity and change. • Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams. • Plans, organizes, schedules, and budgets in an efficient, productive manner. • Is 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.

Requirements

• Python & SQL skills. You are bringing 5+ years of first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter. • Ability to lead projects from ideation to production. • Experience working in a collaborative environment with product managers, designers and engineers. • Strong understanding of statistics (both frequentist and Bayesian approaches). • Strong understanding of fundamental machine-learning algorithms (regression and decision trees).

Benefits

• Partner with our Investing and Banking Product team to work on some of Wealthsimple’s highest priority efforts. • Build robust, efficient, and integrated data models in our cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization. • Apply 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 friend.