Data Scientist II (AI Deployment)

United States Digital Space LLC; São Paulo; Híbrido; BRL 468 000 - 676 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Stock Purchase Plans

Flexible PTO

Health benefits

Dental

Vision

Life Insurance

Disability

Fertility benefits

Parental leave

Professional development

Learning stipend

In-office culture

Volunteer week

Donation matching

ERGs

Great Place to Work

Resumo da oferta

Braze is hiring a Forward-Deployed Data Scientist to partner with customers and ensure success across large-scale data projects. You will join a forward‑deployed team that builds data pipelines, models, and APIs, collaborating with customer analytics and internal teams to deliver measurable outcomes.

You have 3–5+ years in data science or ML engineering, strong Python, ML libraries, SQL, and experience in production environments. This role offers hybrid work options and global opportunities.

Qualificações

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field required; Master’s or PhD preferred.
• 3–5+ years hands-on data science or ML engineering experience with large-scale data and production environments.
• Strong Python (Pandas) and ML libraries such as TensorFlow, Keras, scikit-learn, CatBoost and XGBoost.
• Proficient in SQL for querying and data manipulation; experience with data pipelines and deployment.
• Experience with Git, CI/CD, testing, type hints, code reviews; scalable, maintainable solutions.
• Nice-to-have: DevOps tools (Airflow, Kubernetes, Terraform, GCP), ETL, RL algorithms.
• Customer-facing or consulting experience preferred; strong collaboration with cross-functional teams.
• Entrepreneurial problem-solver and continuous learner with clear communication skills.

Responsabilidades

• Collaborate with analytics/BI teams and colleagues on implementations, including use case definition and data integration.
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
• Work with the RL pipeline team to refine and advance reinforcement learning algorithms.
• Help shape BrazeAI product strategy and roadmap through customer-facing insights.
• Provide ongoing technical expertise to ensure successful adoption and measurable outcomes.

Conhecimentos

Python (Pandas)

TensorFlow / Keras

scikit-learn

CatBoost / XGBoost

SQL

Data pipelines

Git / CI-CD

Kubernetes

Airflow

GCP

Client-facing

Formação académica

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field

Master’s or PhD in a relevant technical discipline preferred

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: 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

• 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

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*.

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 recruitment proc