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Forward-Deployed Data Scientist at Braze | Austin

BrazeAustin
On-site Full-time $124.2K/yr - $165K/yr

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Experience Level

Mid to Senior

Qualifications

WHO YOU AREEducation: A Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field is required; a Master’s or PhD in a relevant technical discipline is preferred. Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or in a similar role involving large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred. Strong technical expertise: Proficient in Python (Pandas) and core ML libraries such as TensorFlow, Keras, scikit-learn, CatBoost, etc.

About the job

At Braze, we pride ourselves on our exceptional team. Our culture is marked by approachability, kindness, and a passion for innovation.

We aim to foster this passion by maintaining high standards, promoting teamwork, and ensuring work-life balance as we navigate our rapid global growth while striving for equity and opportunity both within and beyond our organization.

To thrive in our environment, you should be prepared to set ambitious goals for yourself and your colleagues. We believe there is always a way to contribute: exercising autonomy, embracing accountability, and being receptive to diverse perspectives are vital to our ongoing success.

Our innate curiosity and desire to share our varied passions create a vibrant workplace culture that is truly one-of-a-kind.

If you are motivated by challenging problems and possess a proactive mindset in times of change, you will be empowered to make a significant impact alongside our dedicated and enthusiastic team. If Braze resonates with you, we look forward to meeting you!

WHAT YOU'LL DO

As we expand our customer base around the exciting developments in BrazeAI, we are growing our team! Join our group of forward-deployed data scientists who partner with customers to ensure their success. In this role, you will:

  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including defining use cases, integrating data, setting up pipelines, and configuring ML models.
  • Enhance product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
  • Work closely with the reinforcement learning pipeline development team to refine and advance our self-learning algorithms.
  • Contribute to shaping the BrazeAI product strategy and roadmap through customer-facing insights and technical expertise.
  • Provide ongoing technical guidance to ensure successful adoption, measurable outcomes, and long-term customer success.

About Braze

Braze is a leader in customer engagement solutions, committed to delivering exceptional experiences through innovative technology. Our team is dedicated to fostering a culture of collaboration, continuous learning, and support for each member's personal and professional growth.

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