Data Scientist II (AI Deployment)

Braze
São Paulo
Full timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Continuous learning","Stakeholder alignment"]

Deploy and advance BrazeAI by partnering with customer Analytics/BI teams and internal stakeholders. You’ll define use cases, set up data integrations and pipelines, and configure machine learning models for production environments. Improve product capabilities through reusable data pipelines, APIs, and components, and collaborate with reinforcement learning teams to refine self-learning algorithms. Use customer-facing insights to shape the BrazeAI roadmap and drive measurable customer success.

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FursaFursa
Braze
Braze
5 months ago

Data Scientist II (AI Deployment)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Deploy and advance BrazeAI by partnering with customer Analytics/BI teams and internal stakeholders. You’ll define use cases, set up data integrations and pipelines, and configure machine learning models for production environments. Improve product capabilities through reusable data pipelines, APIs, and components, and collaborate with reinforcement learning teams to refine self-learning algorithms. Use customer-facing insights to shape the BrazeAI roadmap and drive measurable customer success.
Location: São Paulo
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with customer analytics/BI teams and Braze colleagues to implement use cases, including data integration, pipeline setup, and ML model configuration.
  • •Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
  • •Collaborate with the reinforcement learning pipeline development team to refine self-learning algorithms.
  • •Provide customer-facing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.
  • •Contribute to BrazeAI product strategy and roadmap using customer insights and technical expertise.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementEquityLearning BudgetPaid LeaveParental LeaveRemote 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 hands-on experience as a Data Scientist or Machine Learning Engineer with large-scale data and production environments.
  • •Proficiency in Python (Pandas) and core ML libraries including TensorFlow, Keras, scikit-learn, CatBoost, and XGBoost.
  • •Strong SQL skills for querying/manipulating datasets, with experience in ML pipelines and model deployment.
  • •Experience contributing to engineering best practices (modular, documented code; Git/CI/CD/testing; type-hinting; code reviews).
Experience:3+ years
Education:Bachelor's in Computer Science, Data Science, Mathematics, Engineering, or related field
Skills:CommunicationCollaborationProblem-solvingContinuous learningStakeholder alignment
Languages:English
Tech Stack:PythonPandasTensorFlowKerasScikit-learnCatBoostXGBoostSQLGitCI/CDTestingType-hintingAirflowKubernetesTerraformGCP

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