Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in machine learning and data integration — you've successfully collaborated with cross-functional teams to implement data-driven solutions. You are comfortable working with APIs and have a knack for improving product capabilities through innovative architecture. Your ability to communicate complex technical concepts to non-technical stakeholders sets you apart, and you thrive in environments that encourage autonomy and accountability. You are eager to learn and share your knowledge with others, contributing to a vibrant team culture. You understand the importance of setting high standards for yourself and your colleagues, and you are driven to solve challenging problems in a fast-paced environment.

What you'll do

As a Forward-Deployed Data Scientist at Braze, you will join a team of creative technical experts dedicated to ensuring customer success. You will collaborate closely with customer Analytics and BI teams to define use cases, integrate data, and set up data pipelines. Your role will involve configuring machine learning models to extend product capabilities and improve architecture. You will be responsible for developing reusable data pipelines and APIs that enhance the overall functionality of our products. Your contributions will directly impact how our customers leverage data to drive their business outcomes. You will also have the opportunity to mentor junior team members and share your expertise in data science and machine learning.

What we offer

At Braze, we foster a culture of teamwork and high standards, where you can thrive and make a real impact. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a supportive team that values diverse perspectives and encourages open communication. Our commitment to work-life harmony means you can balance your professional and personal life effectively. Join us in our mission to empower businesses through innovative data solutions and be part of a company that values your contributions.