Vonage

Vonage

Vonage provides flexible and affordable cloud communication services for consumers and businesses, including VoIP, unified communications, and contact centers, all on a highly flexible platform.

Diversified Telecommunication Services
1K-5K
Founded 1998

Description

  • Collaborate with the Snowflake engineering team to define, specify, and validate data requirements for models and AI applications.
  • Serve as the translation layer between data engineering and AI/ML teams to ensure data is structured, clean, and optimized for downstream use.
  • Design and maintain data layers that support agent memory, context retrieval, and tool use in agentic AI workflows.
  • Build and maintain data models and transformation logic on top of Snowflake for predictive and generative AI use cases.
  • Identify and resolve data quality issues in collaboration with engineering teams.
  • Partner with marketing science and analytics teams to keep data assets accessible and model-ready.
  • Automate and streamline data validation processes to improve reliability of AI-facing data pipelines.
  • Translate business and modeling needs into precise, actionable data requirements for engineering teams.
  • Propose pragmatic solutions in ambiguous data environments.

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, such as RAG pipelines, structured data for LLM tool-calling, or agent memory and context layers.
  • Familiarity with vector databases or embedding-based retrieval systems such as Pinecone, Weaviate, or pgvector.
  • Experience collaborating with or working closely alongside data engineering teams.
  • Familiarity with cloud data platforms such as AWS, GCP, or Azure.
  • Experience with orchestration tools such as dbt, Airflow, or similar, is a plus.
  • Exposure to marketing data ecosystems, including CDP platforms and ad platform data structures, is a plus.
  • Experience in a B2B SaaS environment is a plus.
  • A Master's or PhD in a quantitative field such as Computer Science, Statistics, or Data Engineering is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Principal Data Scientist

Sand Technologies Internet Software & Services

Sand Technologies is seeking a Principal Data Scientist to lead healthcare-focused data science and machine learning work that delivers scalable, high-impact solutions across complex industry challenges.

AWS Machine Learning MLOps Python Statistics
5 hours, 57 minutes ago

Principal Data Scientist

Sand Technologies Internet Software & Services

Sand Technologies is hiring a Principal Data Scientist to lead telecommunications-focused AI and machine learning work that improves subscriber experience, network performance, and business outcomes.

AWS Machine Learning MLOps Python Statistics
6 hours, 11 minutes ago

Senior Data Scientist

Sand Technologies Internet Software & Services

Sand Technologies is hiring a Senior Data Scientist to support its Utilities domain by applying data science and machine learning to improve grid optimization, asset management, and consumption forecasting for utility clients.

Azure Machine Learning MLOps Python Statistics
6 hours, 11 minutes ago

Senior Applied AI Scientist (AI/DS)

Xebia 1K-5K Internet Software & Services

Xebia is hiring a Data Scientist / Applied AI professional to build AI-driven solutions that improve vehicle inventory discoverability, search visibility, and organic growth for automotive content and search experiences.

Agile AWS Databricks Elasticsearch Hugging Face Kubernetes Machine Learning OpenSearch Python PyTorch Scala Scikit-learn SEO Snowflake TensorFlow
6 hours, 11 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers