Forward-Deployed Data Scientist II
Responsibilities
- check_circle Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success
- check_circle Build and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users
- check_circle Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes
- check_circle Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements
- check_circle Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward
- check_circle Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table
- check_circle 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
- check_circle 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
- check_circle 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
- check_circle 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
- check_circle Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
- check_circle Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- check_circle Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- check_circle Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- check_circle Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
Benefits
- check_circle Competitive compensation that may include equity
- check_circle Retirement and Employee Stock Purchase Plans
- check_circle Flexible paid time off
- check_circle Comprehensive benefit plans covering medical, dental, vision, life, and disability
- check_circle Family services that include fertility benefits and equal paid parental leave
- check_circle Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- check_circle A curated in-office employee experience, designed to foster community, team connections, and innovation
- check_circle Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- check_circle Employee Resource Groups that provide supportive communities within Braze
- check_circle 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 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 Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-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, and was named a G2 "Best of Marketing and Digital Advertising Software Product" in 2026. Braze 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®. Braze 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.
BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER
At Braze, 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 Braze, 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.
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