Data Scientist for Martech

Tasks

• Automate marketing processes
• Build data analytics pipelines
• Build marketing mix modeling models
• Build next best action models
• Build next best offer models
• Collaborate with marketing engineers and analysts
• Conduct research for new marketing AI use cases
• Create dynamic customer profiling
• Deploy machine learning models
• Design AI models
• Develop agent systems
• Develop generative AI solutions
• Engage clients to define AI marketing strategies
• Generate actionable business insights
• Integrate BigQuery ML workflows
• Monitor model performance
• Optimize marketing strategies
• Orchestrate ML workflows on Google Cloud
• Predict customer behavior
• Scout new technologies for GCP marketing AI

Perks/Benefits

• N/A

Skills/Tech-stack

AI APIs | Airflow | Attribution Modeling | BigQuery | BigQuery ML | Cloud Run | Containerization | Customer Journey | Customer Journey Analytics | Digital Marketing Analytics | Digital marketing | Docker | GKE | Generative AI | Git | Google AI | Google AI APIs | Google Kubernetes | Google Kubernetes Engine | Image Generation | Journey Analytics | Kubernetes | Kubernetes Engine | Language Models | Large Language Models | MLOps | Machine Learning | Marketing Analytics | Marketing Mix | Marketing Mix Modeling | Mix Modeling | NLP | Python | SQL | Speech-to-Text | Text to Speech | Text-to-Image | Text-to-Image Generation | Vertex AI | Vision AI