Braze

1 month ago

Senior Data Scientist (AI Deployment)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior Forward-Deployed Data Scientist at Braze will partner with customers to implement data-driven solutions, extend product capabilities with scalable data pipelines and APIs, and advance reinforcement learning algorithms, while shaping BrazeAI roadmap and ensuring long-term customer success in a hybrid, global B2B environment.

Location: São Paulo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager 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 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

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityLearning StipendRetirement

Key Requirements

•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
•5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments; customer-facing or consulting experience preferred
•Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost); strong SQL skills; experience with machine learning pipelines and model deployment
•Well-structured, modular, documented code; strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); ability to build scalable, maintainable solutions
•Nice-to-have: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and reinforcement learning algorithms

Experience:5+ yearsSaaSMarTechMarketing Technology

Education:Bachelor's in Computer Science

Skills:CommunicationCollaborationProblem-solvingCustomer-facingAdaptability

Languages:English

Tech Stack:PythonPandasTensorFlowKerasScikit-learnCatBoostXGBoostSQLGitCI/CDAirflowKubernetesTerraformGCPReinforcement learningETLAPIDockerML pipelines

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

Website LinkedIn

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Braze

1 month ago

Senior Data Scientist (AI Deployment)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: São Paulo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager 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 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

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityLearning StipendRetirement

Key Requirements

•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
•5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments; customer-facing or consulting experience preferred
•Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost); strong SQL skills; experience with machine learning pipelines and model deployment
•Well-structured, modular, documented code; strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); ability to build scalable, maintainable solutions
•Nice-to-have: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and reinforcement learning algorithms

Experience:5+ yearsSaaSMarTechMarketing Technology

Education:Bachelor's in Computer Science

Skills:CommunicationCollaborationProblem-solvingCustomer-facingAdaptability

Languages:English

Tech Stack:PythonPandasTensorFlowKerasScikit-learnCatBoostXGBoostSQLGitCI/CDAirflowKubernetesTerraformGCPReinforcement learningETLAPIDockerML pipelines

Company Brief

Braze

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

Website LinkedIn