Senior Data Scientist I at Braze
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

15 May, 25

Salary

0.0

Posted On

16 Feb, 25

Experience

5 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

Responsibilities

Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product.

As a Data Scientist, you will:

  • Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
  • Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
  • Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions
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