Braze
SeniorDataScientist(AIDeployment)
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“Senior Data Scientist (AI Deployment) at Braze. Skills: Python, SQL, Machine Learning, Model Deployment. Collaborate with customer AnalyticsI teams. Partner with customers on implementations”
Industry & Context.
Entrepreneurial problem-solver; Identify opportunities and risks early; Troubleshoot obstacles; Solve exhilarating challenges
What They're Looking For.
Must Have
5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role, Experience with large-scale data, Experience with production environments, Proficient in Python, Proficient in Pandas, Proficient in core ML libraries, Skilled in SQL, Experience in machine learning pipelines, Experience in model deployment, Engineering best practices, Well-structured code, Modular code, Documented code, Development practices, Git, CI/CD, Testing frameworks, Type-hinting, Code reviews, Scalable solutions, Maintainable solutions
Nice to Have
Master’s or PhD in a relevant technical discipline, Experience in customer-facing roles, Experience in consulting roles, Experience with DevOps tools, Airflow, Kubernetes, Terraform, GCP, Data integration, ETL, Pipeline optimization, Reinforcement learning algorithms
What You'll Do.
Collaborate with customer AnalyticsI teams
Partner with customers on implementations
Extend product capabilities
Develop reusable data pipelines
Refine reinforcement learning algorithms
Advance reinforcement learning algorithms
Shape BrazeAI product strategy
Shape BrazeAI roadmap
Provide technical expertise
Ensure successful adoption
Ensure measurable outcomes
Ensure long-term customer success
How You'll Work.
Team & Collaboration
Collaborate with customer AnalyticsI teams; Collaborate with Braze colleagues; Work closely with RL pipeline development team; Work directly with clients; Work with cross-functional teams; Aligning stakeholders
Communication Scope
Clear communicator; Explain complex technical ideas persuasively; Translating technical concepts into clear business value
Full Job Description
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts 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 use case definition, data integration, pipeline setup, and ML model configuration Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE Edu
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