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About the Role

Our Forward-Deployed Data Scientist team consists of creative technical experts who design and build end-to-end machine learning solutions. These solutions power 1-to-1 personalization for leading global brands.

Responsibilities

• Design ML use cases from the ground up, scoping solutions for business value, accounting for modern marketing journey complexity, and proactively identifying risks.
• Build and own the full ML pipeline, taking raw customer data through transformation, model training, and activation to personalize experiences for millions of end users.
• Drive customer success by providing ongoing technical guidance to ensure data science performance, successful adoption, and measurable outcomes.
• Extend product capabilities by developing features and tools that support the broader AI deployment team and scale possibilities across engagements.
• Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the platform's self-learning capabilities.
• Shape BrazeAI product strategy and roadmap by contributing customer-facing insights and deep technical expertise.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• 3–5+ years of hands-on experience 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 and manipulating datasets.
• Experience in machine learning pipelines and model deployment.
• Ability to write well-structured, modular, and documented code.
• Adherence to strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews).
• Ability to build scalable, maintainable solutions.
• Comfortable working directly with clients and cross-functional teams.
• Ability to align stakeholders and translate technical concepts into clear business value.
• Ability to identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions.
• Commitment to continuous learning, staying current with industry trends, and exploring new tools/technologies.
• Ability to explain complex technical ideas persuasively to both technical and non-technical audiences.

Skills

• Python
• Pandas
• TensorFlow
• Keras
• scikit-learn
• CatBoost
• XGBoost
• SQL
• Machine Learning Pipelines
• Model Deployment
• Git
• CI/CD
• Testing Frameworks
• Type-hinting
• Code Reviews
• Scalable Solution Development
• Airflow
• Kubernetes
• Terraform
• GCP
• Data Integration
• ETL
• Pipeline Optimization
• Reinforcement Learning Algorithms
• Client Collaboration
• Stakeholder Alignment
• Technical Concept Translation
• Problem Solving
• Risk Identification
• Creative Solutions
• Continuous Learning
• Industry Trend Awareness
• Clear Communication

Location

• New York
• Austin
• Berlin
• Bucharest
• Chicago
• Dubai
• Jakarta
• London
• Paris
• San Francisco
• São Paulo
• Singapore
• Seoul
• Sydney
• Tokyo

Work Type

• Hybrid ways of working

Experience Level

• 3–5+ years of hands-on experience

Education Level

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field
• Master’s or PhD in a relevant technical discipline (preferred)

Salary/Compensations

• Competitive compensation that may include equity

Benefits

• Competitive compensation that may include equity
• Retirement plans
• Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive medical benefits
• Comprehensive dental benefits
• Comprehensive vision benefits
• Comprehensive life benefits
• Comprehensive disability benefits
• Fertility benefits
• Equal paid parental leave
• Professional development supported by formal career pathing
• Professional development supported by learning platforms
• Yearly learning stipend
• Curated in-office employee experience
• Opportunities to give back to your community
• Annual company-wide Volunteer Week
• Donation matching
• Employee Resource Groups
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®

About the Company

• Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™.
• Braze helps brands deliver great customer experiences that drive value for consumers and businesses.
• Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint.
• BrazeAI™ enables smarter, faster, and more meaningful customer engagement.
• The platform offers cross-channel messaging, journey orchestration, AI-powered decisioning, and optimization.
• Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
• The company has been consistently recognized as a Leader in marketing technology by industry analysts.
• Named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026.
• Named a 2026 Best Places to Work by Built In.
• Named a 2025 America’s Greenest Companies by Newsweek.
• Named a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®.
• Proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
• Headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

Equal Opportunity

• Braze is an equal opportunity employer.
• Strives to create equitable growth and opportunities inside and outside the organization.
• Committed to offering all candidates a fair, accessible, and inclusive experience.
• Does not discriminate based on age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran.
• Encourages talented people to apply even if they do not meet 100% of the criteria.