Mid-level Data Scientist – Applied AI team
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The role
Mid-level Data Scientist in the Applied AI team responsible for building data-driven product features that enhance discovery, interaction, and trust.
Develop, deploy, and maintain production ML models for ranking, search, recommendations, and NLP-driven experiences at scale.
Collaborate with engineers, product managers, designers, and ML engineers to turn data and model insights into user-facing features and experiments.
Own ML components from concept to production, monitor performance with metrics, and iterate using experimentation and business impact.
Leverage cloud tools such as GCP Vertex AI, BigQuery, and Airflow to support the full ML lifecycle from exploration to deployment.
Flexible hybrid/partial remote options with emphasis on ownership, speed, and clear cross-functional communication.
Develop, deploy, and maintain production ML models for ranking, search, recommendations, and NLP-driven experiences at scale.
Collaborate with engineers, product managers, designers, and ML engineers to turn data and model insights into user-facing features and experiments.
Own ML components from concept to production, monitor performance with metrics, and iterate using experimentation and business impact.
Leverage cloud tools such as GCP Vertex AI, BigQuery, and Airflow to support the full ML lifecycle from exploration to deployment.
Flexible hybrid/partial remote options with emphasis on ownership, speed, and clear cross-functional communication.
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