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Data Scientist - FACT DSE

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Canada
    Remote
  • Quick Apply

AI generated summary

  • You need expertise in experimental design, ML pipelines, SQL/Python, and statistical methods. Familiarity with software engineering practices, feature engineering, and risk management is a plus.
  • You will design product experiments, enhance machine learning models, build feature repositories, translate results into solutions, ensure model testing, and collaborate with teammates for mutual growth.

Requirements

  • Experience in complex experimental design (A/B tests, factorial design)
  • Experience in building end-to-end productionized machine learning pipelines
  • Strong technical skills in coding (SQL & Python) and statistical methods
  • Comfortable with software engineering best practices such as unit testing and version control
  • Experience with machine learning feature engineering
  • Results-driven: keeping things as simple as possible to achieve the product goals
  • Curiosity: willing to dive deep into product strategies and business context
  • Able to build and maintain multi-functional relationships with various teams across the business
  • Experience working in the risk management domain is a plus

Responsibilities

  • Design and execute product experiments to help improve Wealthsimple’s client experience
  • Productionize and make continuous improvements to some of Wealthsimple’s flagship machine learning models
  • Build a repository of machine learning features to support a variety of advanced analytics tasks across the business
  • Translate experimental results into products and solutions
  • Ensure models are well tested, documented and maintained
  • Believe that simple is better, Occam's razor is your friend
  • Take ownership and ship it; release incrementally and iteratively
  • Teach and learn from your teammates. We value making others successful

FAQs

What is the primary responsibility of the Data Scientist on the FACT DSE team?

The primary responsibility is to design and execute product experiments, build robust machine learning pipelines, and drive key product decisions at Wealthsimple.

What skills are required for this Data Scientist position?

Required skills include experience in complex experimental design, building end-to-end productionized machine learning pipelines, strong technical skills in SQL and Python, statistical methods, and familiarity with software engineering best practices.

Is experience in the risk management domain necessary for this role?

Experience in the risk management domain is a plus, but not strictly necessary.

What type of work culture does Wealthsimple promote?

Wealthsimple promotes a culture of collaboration, humility, inclusivity, and high performance, valuing simple solutions and the success of team members.

How many vacation days do employees receive annually?

Employees receive 20 vacation days per year along with unlimited sick and mental health days.

What benefits does Wealthsimple offer for professional development?

Wealthsimple offers up to $1,500 per year towards wellness and professional development budgets respectively.

Are there any specific programming skills that are preferred for this role?

Yes, strong technical skills in coding, specifically in SQL and Python, are preferred for this role.

What type of experimental designs will I work with in this role?

You will work with complex experimental designs such as A/B tests and factorial designs.

How does Wealthsimple support diversity, equity, and inclusion?

Wealthsimple strongly encourages applications from everyone regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status, and actively works to build a diverse team.

Can employees work internationally?

Yes, employees can participate in a 90 days away program, allowing them to work internationally in eligible countries for up to 90 days per calendar year.