Forward-Deployed Data Scientist
Braze is seeking a Forward-Deployed Data Scientist to join our expanding team focused on AI deployment and customer 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 machine learning model configuration. Additionally, you will extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components. Working closely with the reinforcement learning pipeline development team, you will refine and advance our self-learning algorithms. Your insights and technical expertise will contribute to shaping BrazeAI's product strategy and roadmap, ensuring successful adoption, measurable outcomes, and long-term customer success.
The ideal candidate will have a Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field; a Master's or PhD is preferred. You should possess 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. Proficiency in Python (Pandas) and core machine learning libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost) is required, along with strong skills in SQL for querying and manipulating datasets. Experience in machine learning pipelines and model deployment is essential. You should be adept at writing well-structured, modular, documented code and following strong development practices, including Git, CI/CD, testing frameworks, type-hinting, and code reviews. Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms is a plus. Strong communication skills are necessary to work directly with clients and cross-functional teams, aligning stakeholders and translating technical concepts into clear business value. An entrepreneurial problem-solving mindset and a continuous learning attitude are also important.
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $133,700 and $148,500 per year, with an expected On Target Earnings (OTE) between $148,500 and $165,000 per year, including bonus or commission. Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part-time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.
Braze offers a collaborative culture with comprehensive benefits, including health, dental, and vision plans, mental health support, fertility benefits, retirement planning, flexible vacation policy, and professional development opportunities. We support your professional growth through formal career pathing, the Braze University learning platform, and ongoing enablement to foster success. Our flexible time off policy lets you balance your work and life in the way that suits you best. We also provide opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching. Braze is recognized as a Great Place to Work® and is committed to diversity and inclusion.