Forward-Deployed Data Scientist(顧客対応型データサイエンティスト)
Indexed description
・Design RL 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
・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
・Drive customer success by being providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes
・Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements
・Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward
・Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table
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