Data Scientist II (AI Deployment)
Salary not listed • São Paulo • Full-time
Posted 7mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
São Paulo
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Braze is seeking a Forward-Deployed Data Scientist to join our growing team and partner with customers to ensure their success with BrazeAI. In this role, you will collaborate with customer teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration. You will also extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components, while working closely with the RL pipeline development team to refine our reinforcement learning algorithms. This position offers the opportunity to contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise, and to provide ongoing technical expertise to ensure successful adoption and long-term customer success.
Responsibilities
- 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 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.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD preferred.
- 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.
- Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
- Skilled in SQL for querying/manipulating datasets.
- Experience in machine learning pipelines and model deployment.
- Write well-structured, modular, documented code.
- Follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews).
- Ability to build scalable, maintainable solutions.
- Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms is a plus.
- Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value.
- Ability to identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions.
- Stay current with industry trends, explore new tools/technologies, and thrive in growth-oriented environments.
- Able to explain complex technical ideas persuasively to both technical and non-technical audiences.
Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®