Data Scientist II (AI Deployment)

Braze
São Paulo
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3-5 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Customer-facing","Clear communicator"]

Join a forward-deployed data science team that partners with customers to ensure success, building scalable data pipelines, reusable components, and reinforcement learning solutions. You’ll collaborate with customer analytics teams, extend product capabilities, and contribute to BrazeAI strategy, delivering measurable outcomes and long-term customer value.

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FursaFursa
Braze
Braze
4 months ago

Data Scientist II (AI Deployment)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Join a forward-deployed data science team that partners with customers to ensure success, building scalable data pipelines, reusable components, and reinforcement learning solutions. You’ll collaborate with customer analytics teams, extend product capabilities, and contribute to BrazeAI strategy, delivering measurable outcomes and long-term customer value.
Location: São Paulo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 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

Pay and Benefits

Perks:Health InsuranceEquity401kLearning StipendRemote Work

Key Requirements

  • •Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field; Master’s or PhD preferred
  • •3–5+ years of hands-on experience as a Data Scientist or ML Engineer in large-scale, production environments
  • •Proficiency in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost) and SQL for data querying
  • •Experience with building ML pipelines and model deployment; ability to write modular, well-documented code with Git, CI/CD, and testing practices
  • •Nice-to-have: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, reinforcement learning algorithms
Experience:3-5 yearsData scienceMachine learningProduction environmentsCustomer-facing
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingCustomer-facingClear communicator
Languages:English
Tech Stack:PythonPandasTensorFlowKerasScikit-learnCatBoostXGBoostSQLGitCI/CDAirflowKubernetesTerraformGCP

Company Brief

Braze
Provides a customer engagement platform that helps brands create personalized messaging and lifecycle campaigns across mobile, web, email, and other channels to drive retention, engagement, and revenue.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
WebsiteLinkedIn