Remote Senior Data Scientist at Braze

Description:

Braze is seeking a Senior Data Scientist to join the Intelligence team, which focuses on delivering engaging and personalized customer experiences through ML and AI enhanced marketing solutions.
The role involves discovering possibilities to improve customer engagement at scale and supporting specific solutions from prototype to product.
Responsibilities include collaborating with Product Managers and Engineers to leverage data for improved decision-making, exploring and analyzing billions of daily data points for actionable insights, and building and iterating on various predictive models.

Candidates must have 5+ years of experience in the technology industry.
A minimum of 5+ years of experience working with cloud or distributed systems and large customer datasets is required.
A Ph.D. in Computer Science, Applied Mathematics, or significant experience in developing and deploying machine learning systems is necessary.
Extensive experience in prototyping, refining, and deploying predictive models and machine learning & AI neural networks is essential.
Experience with Data Stores and frameworks such as TensorFlow and PyTorch is required.

Braze offers competitive compensation that may include equity.
Employees have access to retirement and Employee Stock Purchase Plans.
The company provides flexible paid time off to support work-life harmony.
Comprehensive benefit plans covering medical, dental, vision, life, and disability are available.
Family services include fertility benefits and equal paid parental leave.
Professional development is supported through formal career pathing, learning platforms, and tuition reimbursement.
Employees can engage in community opportunities throughout the year, including an annual company-wide Volunteer Week.
Braze has Employee Resource Groups that provide supportive communities within the organization.
The company promotes a collaborative, transparent, and fun culture, recognized as a Great Place to Work®.