
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 hiring a Senior 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 in London.
Job Description
Who you are
You have a strong background in data science with a focus on machine learning and data integration. You thrive in collaborative environments, working closely with customer Analytics and BI teams to ensure successful implementations. Your experience includes developing reusable data pipelines and APIs, which are essential for extending product capabilities. You are comfortable navigating complex technical challenges and are eager to contribute to a team that values high standards and teamwork. You understand the importance of accountability and are open to new perspectives, which aligns with Braze's culture of curiosity and passion.
What you'll do
As a Senior Forward Deployed Data Scientist at Braze, you will play a critical role in our Field Data Scientist group. You will collaborate with customer teams to define use cases and ensure successful data integration and pipeline setups. Your responsibilities will include configuring machine learning models to meet customer needs and improving the architecture of our products. You will also work on developing reusable data pipelines and APIs that enhance our product capabilities. Your role will require you to act with autonomy and take accountability for your contributions, ensuring that you deliver high-quality results that align with our customers' expectations. You will be empowered to solve exhilarating challenges and make a real impact within the organization.
What we offer
At Braze, we offer a supportive and vibrant work environment where you can thrive. We believe in creating work-life harmony and championing teamwork as we navigate rapid growth. You will be part of a genuinely approachable and kind team that values diverse perspectives and encourages personal and professional growth. We provide opportunities for you to contribute meaningfully to our mission and impact our customers positively. If you are driven to solve challenges and eager to learn, we encourage you to apply even if you don't meet every requirement.
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