Senior Data Scientist (Applied AI)
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The role
Own the end-to-end data science lifecycle for production-grade ML/AI models powering product features.
Develop and deploy NLP, Generative AI, recommendation, and content generation capabilities for B2B SaaS and consumer experiences.
Collaborate with software engineers, product managers, designers, data analytics and ML engineers to translate requirements into DS deliverables.
Identify data-driven opportunities, interpret model outcomes, and drive strategic decisions and product direction.
Maintain, monitor, and scale production models using GCP tools such as Vertex AI, BigQuery, and Airflow.
Apply statistical and ML methods, including sentiment analysis, topic modeling, forecasting, and personalization, to improve user experience and business outcomes.
Develop and deploy NLP, Generative AI, recommendation, and content generation capabilities for B2B SaaS and consumer experiences.
Collaborate with software engineers, product managers, designers, data analytics and ML engineers to translate requirements into DS deliverables.
Identify data-driven opportunities, interpret model outcomes, and drive strategic decisions and product direction.
Maintain, monitor, and scale production models using GCP tools such as Vertex AI, BigQuery, and Airflow.
Apply statistical and ML methods, including sentiment analysis, topic modeling, forecasting, and personalization, to improve user experience and business outcomes.
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