Marketing Data Scientist
New
V
VonageCloud Communications
Work from Home - MexicoFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8 years
- Required Skills
- PythonSQLMachine LearningSnowflakeData modelingLangChain
Requirements
- 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, pgvector)
- Experience collaborating with or working closely alongside data engineering teams
- Familiarity with cloud data platforms (AWS, GCP, or Azure)
Responsibilities
- Collaborate closely with the Snowflake engineering team to define, spec, and validate data requirements for models and AI applications
- 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
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