Senior Data Scientist (Applied AI)
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The role
Lead and deliver data science projects powering product features for B2B SaaS and consumer sites, including prediction, ranking, NLP, search, recommendations and personalization.
Own the end-to-end lifecycle of production-ready AI/ML models—from data analysis and feature engineering to deployment and monitoring.
Identify new product opportunities based on data, interpret model outcomes, and share insights to steer DS work.
Collaborate with software engineers, product managers, designers and ML engineers to build scalable AI solutions using Vertex AI, BigQuery and Airflow.
Communicate impact and value to both technical and non-technical stakeholders through data-driven storytelling.
Operate in a fast-moving, cross-functional environment with a product mindset and a focus on delivering tangible user value.
Own the end-to-end lifecycle of production-ready AI/ML models—from data analysis and feature engineering to deployment and monitoring.
Identify new product opportunities based on data, interpret model outcomes, and share insights to steer DS work.
Collaborate with software engineers, product managers, designers and ML engineers to build scalable AI solutions using Vertex AI, BigQuery and Airflow.
Communicate impact and value to both technical and non-technical stakeholders through data-driven storytelling.
Operate in a fast-moving, cross-functional environment with a product mindset and a focus on delivering tangible user value.
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