Senior Data Scientist (Applied AI)
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The role
Lead the design, development, and deployment of AI/ML features for a B2B SaaS product, with a focus on NLP, sentiment analysis, and content generation.
Own production-ready models from data preparation to monitoring, including implementation on GCP tools such as Vertex AI, BigQuery, and Airflow.
Translate product requirements into data science deliverables and clearly communicate impact to both technical and non-technical stakeholders.
Identify opportunities to improve user experience through personalized recommendations, search ranking, and content generation.
Collaborate with software engineers, product managers, designers, and data analytics to ship at scale and measure business impact.
Leverage strong data engineering foundations and a proactive product mindset to turn data into meaningful, revenue-driving features.
Own production-ready models from data preparation to monitoring, including implementation on GCP tools such as Vertex AI, BigQuery, and Airflow.
Translate product requirements into data science deliverables and clearly communicate impact to both technical and non-technical stakeholders.
Identify opportunities to improve user experience through personalized recommendations, search ranking, and content generation.
Collaborate with software engineers, product managers, designers, and data analytics to ship at scale and measure business impact.
Leverage strong data engineering foundations and a proactive product mindset to turn data into meaningful, revenue-driving features.
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