
About Braze
The customer engagement platform that drives connections
Key Highlights
- Headquartered in Rose Hill, New York, NY
- Over 1,000 employees and growing
- $182.7 million raised in Series D funding
- Clients include Heineken and Domino's
Braze is a leading customer engagement platform headquartered in Rose Hill, New York, NY. With over 1,000 employees, Braze has raised $182.7 million in funding through Series D rounds, serving clients like Heineken and Domino's. The platform enables brands to create personalized messaging experience...
🎁 Benefits
Braze offers a flexible vacation policy, equal paid family services including fertility benefits and parental leave, and retirement planning with matc...
🌟 Culture
Braze fosters a culture focused on building strong customer relationships through technology. The company emphasizes innovation in mobile engagement, ...
Skills & Technologies
Overview
Braze is seeking a Forward-Deployed Data Scientist to collaborate with customer Analytics/BI teams and enhance product capabilities. You'll work on data integration, pipeline setup, and ML model configuration. This role requires experience in machine learning and data architecture.
Job Description
Who you are
You have a strong background in data science, with experience in machine learning and data integration. You thrive in collaborative environments, working closely with customer Analytics and BI teams to define use cases and implement solutions. Your technical expertise allows you to improve product architecture and develop reusable data pipelines and APIs. You are open to new perspectives and are driven to solve complex challenges, making you a valuable asset to the team. You understand the importance of accountability and autonomy in your work, and you are eager to contribute to the success of both your team and your customers.
What you'll do
In this role, you will join the Field Data Scientist group at Braze, where you will partner with customers to ensure their success with BrazeAI. You will collaborate with customer Analytics and BI teams to define use cases, integrate data, and set up data pipelines. Your responsibilities will include configuring machine learning models and extending product capabilities by improving architecture. You will also work on developing reusable data pipelines and APIs, ensuring that the solutions you implement are scalable and efficient. As you navigate the rapid growth of Braze, you will be empowered to make a real impact, contributing to the overall success of the organization.
What we offer
At Braze, we foster a culture of teamwork and high standards, where you will be encouraged to set a high bar for yourself and those around you. We believe in creating work-life harmony and providing opportunities for growth and equity within our organization. You will be part of a genuinely approachable and kind team, where your contributions will be valued and recognized. We encourage you to apply even if your experience doesn't match every requirement, as we are excited to meet individuals who are driven to solve exhilarating challenges and make a difference.
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