Marketing Data Scientist, Data (Ciudad de México)

Marketing Data Scientist, Data (Ciudad de México)

06 sep
|
Vonage
|
Ciudad de México

06 sep

Vonage

Ciudad de México

Join Vonage and help us innovate cloud communications for businesses worldwide:
Why this role matters:
Your key responsibilities:
- Serve as the translation layer between data engineering and AI/ML teams, ensuring data is structured, clean, and optimized for downstream use
- Enable and support agentic AI workflows by designing and maintaining the data layers that power agent memory, context retrieval, and tool-use
- Build and maintain data models and transformation logic on top of Snowflake to support predictive and generative AI use cases
- Identify and resolve data quality issues in collaboration with the engineering team
- Partner with marketing science and analytics teams to ensure data assets are accessible and model-ready
- Automate and streamline data validation processes to improve reliability of AI-facing data pipelines

What you'll bring:
- Deep fluency in Snowflake - comfortable living in it daily as a power user, and confident enough to hold technical conversations with Snowflake engineers




- A strong understanding of how data must be structured and governed to reliably power AI and machine learning systems
- The ability to translate business and modeling needs into precise, actionable data requirements for engineering teams
- A collaborative mindset with the ability to operate effectively across data engineering, AI, and marketing science functions
- A proactive, self-starter approach capable of navigating ambiguous data environments and proposing pragmatic solutions

Required:
- 8 years of experience in Data Science or a data engineering-adjacent role
- Advanced proficiency in Python and SQL
- Deep expertise in Snowflake - including data modeling, Snowpark, and advanced querying
- Approximately 2 years of hands-on experience powering agentic AI workflows with data (e.g., RAG pipelines, structured data for LLM tool-calling, agent memory and context layers)
- Familiarity with vector databases or embedding-based retrieval systems (e.g., Pinecone, Weaviate,

📌 Marketing Data Scientist, Data (Ciudad de México)
🏢 Vonage
📍 Ciudad de México

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