Senior Data Scientist

Role Overview: You will be joining as a Senior Data Scientist focusing on developing, validating, and deploying machine learning and generative AI solutions to optimize omnichannel communications for marketing and advertising. Your key responsibilities will include partnering with business stakeholders to translate use cases into scalable models, implementing MLOps best practices, and continuously monitoring and improving model performance to drive measurable business impact. Key Responsibilities: - Partner with business stakeholders to identify and prioritize data science initiatives for measurable marketing/advertising value. - Design, build, validate, and productionize ML models and generative AI solutions for omnichannel communications and customer engagement. - Implement MLOps best practices including CI/CD, monitoring, drift detection, and model refresh workflows. - Develop and maintain data pipelines, feature engineering processes, and model validation/testing frameworks. - Apply modern GenAI techniques for content personalization, summarization, intent detection, and other use cases. - Perform exploratory data analysis, implement quality checks, and provide actionable insights to stakeholders. - Collaborate with cross-functional teams to integrate models into platforms and ensure operational readiness. - Monitor model performance post-deployment, iterate on models, and document model lineage and assumptions. - Produce technical and non-technical documentation and present results to internal and external partners. Qualification Required: - Advanced degree (Masters or PhD) in statistics, mathematics, economics, computer science, or related quantitative field. - Proven track record in applying ML/Deep Learning and experience with generative AI/LLMs in business contexts. Role Overview: You will be joining as a Senior Data Scientist focusing on developing, validating, and deploying machine learning and generative AI solutions to optimize omnichannel communications for marketing and advertising. Your key responsibilities will include partnering with business stakeholders to translate use cases into scalable models, implementing MLOps best practices, and continuously monitoring and improving model performance to drive measurable business impact. Key Responsibilities: - Partner with business stakeholders to identify and prioritize data science initiatives for measurable marketing/advertising value. - Design, build, validate, and productionize ML models and generative AI solutions for omnichannel communications and customer engagement. - Implement MLOps best practices including CI/CD, monitoring, drift detection, and model refresh workflows. - Develop and maintain data pipelines, feature engineering processes, and model validation/testing frameworks. - Apply modern GenAI techniques for content personalization, summarization, intent detection, and other use cases. - Perform exploratory data analysis, implement quality checks, and provide actionable insights to stakeholders. - Collaborate with cross-functional teams to integrate models into platforms and ensure operational readiness. - Monitor model performance post-deployment, iterate on models, and document model lineage and assumptions. - Produce technical and non-technical documentation and present results to internal and external partners. Qualification Required: - Advanced degree (Masters or PhD) in statistics, mathematics, economics, computer science, or related quantitative field. - Proven track record in applying ML/Deep Learning and experience with generative AI/LLMs in business contexts.