braze
Forward-Deployed Data Scientist II
At a Glance
- Location
- London
- Experience
- 5+ years
- Posted
- 2026-03-03T09:52:42-05:00
Key Requirements
Required Skills
Domain Knowledge
- Advertising
- Education
- Engineering
- Marketing
- Medical
Benefits & Perks
ment. From offering comprehensive benefits to fostering hybrid ways of working, we
Requirements
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
Responsibilities
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 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