Senior Data Scientist (Applied AI)
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The role
Join a high-growth Applied AI team to develop data-driven product features and foundational models that power B2B SaaS and consumer experiences.
Own end-to-end lifecycle of AI/ML models, from data preparation and modeling to deployment, monitoring, and iteration at scale.
Focus on NLP, Generative AI, and applications such as sentiment analysis, topic modeling, recommendations, search, content generation, and personalization.
Collaborate with software engineers, product managers, designers, data analysts, and ML engineers to translate product needs into DS deliverables.
Identify new product opportunities from data, interpret model outcomes, and share insights to influence roadmaps and business decisions.
Work with cutting-edge tooling (GCP Vertex AI, BigQuery, Airflow) to build reliable, production-grade ML systems.
Own end-to-end lifecycle of AI/ML models, from data preparation and modeling to deployment, monitoring, and iteration at scale.
Focus on NLP, Generative AI, and applications such as sentiment analysis, topic modeling, recommendations, search, content generation, and personalization.
Collaborate with software engineers, product managers, designers, data analysts, and ML engineers to translate product needs into DS deliverables.
Identify new product opportunities from data, interpret model outcomes, and share insights to influence roadmaps and business decisions.
Work with cutting-edge tooling (GCP Vertex AI, BigQuery, Airflow) to build reliable, production-grade ML systems.
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