Data Scientist II (AI Deployment)
Join Braze as a Data Scientist II to collaborate with clients and enhance AI deployment strategies in a passionate team.
Posted by employer 7 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 18 hours ago
Skills & Technologies
AI in the day-to-day
We use AI-assisted tools at certain stages of our recruitment process.
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Data Scientist II at Braze, the individual will engage with customer analytics teams to implement data solutions, enhance product capabilities, and refine machine learning algorithms. Proficiency in Python, SQL, and machine learning frameworks is essential, along with experience in customer-facing roles. This position is ideal for someone with a strong technical background and a collaborative mindset, particularly those who thrive in dynamic environments and are eager to contribute to innovative AI strategies.
Joblaze insights
Quick facts
- Is the Data Scientist II (AI Deployment) role remote?
- It's hybrid — Braze expects some on-site time in São Paulo.
- Where is the role based?
- Braze is hiring for this position in São Paulo.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, CatBoost, GCP, Keras, Kubernetes, Python.
- What seniority level is this role?
- Braze targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist II (AI Deployment) role at Braze.
From the original posting
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
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
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: Proven track record as a Data Scientist, Machine Learning Engineer, or similar role working with 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 (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: you identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: you stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Standard company text repeated across Braze's postings is omitted here.