Senior Data Scientist, AI Products

Company overview

Consumer Edge ("CE") delivers real-time transaction-based intelligence enriched by AI and deep industry expertise. Our mission is to turn complex consumer and business data into actionable insights. Our technology team is distributed across Europe and the US and is driven by curiosity and rigor.

Role summary

As a Senior Data Scientist on the AI Products team, you'll design and evaluate AI systems including chatbots, RAG frameworks, and multi-agent workflows. You'll own experimentation pipelines and metrics frameworks, balancing scientific rigor with practical delivery in a fast-evolving AI environment.

Your main responsibilities

• Develop and evaluate AI and LLM applications for retrieval, generation, and conversation.
• Build evaluation pipelines and establish robust measurement standards.
• Collaborate with Software Engineers to productionize models.
• Research prompt strategies, fine-tuning approaches, and RAG architectures.
• Define metrics and experiments that connect model performance to user impact.
• Document and communicate findings to technical and business stakeholders.
• Mentor junior scientists and champion data quality standards.

We're looking for someone with

Tech stack & team context

Part of the AI Products group alongside engineers and scientists across Dublin, Italy, and New York. The stack includes Python , Vertex AI , BigQuery , Dataflow , and Hugging Face libraries. The team operates with high autonomy and values rapid experimentation balanced with scientific discipline.

Benefits & perks

We are a remote-first company with a distributed environment and flexible working arrangements. We believe that distributed workers should be first-class citizens. We also have an office in New York if offices are your thing.

Salary

The annual base salary for this role is between $175,000 - $225,000 based on experience, with the opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.