Senior Data Scientist (AI Deployment)

United States Digital Space LLC; São Paulo; Híbrido; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity where applicable

Flexible paid time off

Medical/Dental/Vision coverage

Learning stipend

Resumo da oferta

BrazeAI is expanding its Forward-Deployed Data Scientist team to partner with customers, ensuring their success through data-driven insights and scalable ML solutions.

The role emphasizes collaboration with Analytics/BI teams, data integration, and building reusable data pipelines, with a focus on reinforcement learning and product strategy influence.

Qualificações

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field required; Master’s or PhD preferred.
• 5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
• Strong technical expertise in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
• Proficient in SQL for querying/manipulating datasets; experience with ML pipelines and model deployment.
• Engineering best practices: modular, documented code; Git, CI/CD, testing; scalable solutions.
• Nice-to-have: DevOps tools (Airflow, Kubernetes, Terraform, GCP).
• Customer-facing experience and ability to translate technical concepts into business value.
• Continuous learner, strong communication, and cross-functional collaboration.

Responsabilidades

• Collaborate with customer Analytics/BI teams and 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.

Conhecimentos

Python/Pandas

TensorFlow/Keras

scikit-learn

CatBoost/XGBoost

SQL

Git

CI/CD

Testing frameworks

Airflow

Kubernetes

Formação académica

Bachelor’s degree in Computer Science/Data Science/Engineering

Master’s or PhD preferred

Ferramentas

Virtual environments/ML tooling

Descrição da oferta de emprego

At the company, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If the company sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and the company 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

WHO YOU ARE

• Education: 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
• Experience: 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
• Strong technical expertise: proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: you identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: you stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: able to explain complex technical ideas persuasively to both technical and non-technical audiences

#LI-Hybrid

WHAT WE OFFER

*the company benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.*

From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. the company offers benefits such as:

• 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 the company
• Collaborative, transparent, and fun culture recognized as a Great Place to Work

ABOUT the company

the company is the leading customer engagement platform that empowers brands to Be Absolutely Engaging. the company helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the the company Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, the company 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, and was named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026. the company was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work. the company is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore.

The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

the company IS AN EQUAL OPPORTUNITY EMPLOYER

At the company, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with the company, we want you to feel comfortable showcasing what makes you *you*.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

OUR AI-POWERED the company RECRUITMENT PROCESS

At the company, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our