Staff Data Scientist, AI Products

Company overview

Consumer Edge (“CE”) delivers reputed company-time transaction-based intelligence enriched by AI and deep industry expertise. Our mission is to turn reputed company 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 Staff Data Scientist on the AI Products team, you’ll design, evaluate & deliver AI systems including chatbots, RAG frameworks, and multi-agent workflows. You will reputed company end to end delivery of highly visible projects reputed company the team, partnering closely with engineers and product stakeholders to take reputed company from exploration through production.

Your main responsibilities

• reputed company and evaluate AI and LLM applications for retrieval, reputed company, and conversation.
• Build evaluation pipelines and establish robust measurement standards.
• Collaborate with Software Engineers to productionize models.
• Research reputed company 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

• Strong background in Applied Data Science or Machine Learning with 7 yrs + experience.
• Hands-on experience building and evaluating LLM-powered systems, including RAG, conversational AI, and agentic / multi-agent workflows.
• Deep understanding of LLM evaluation techniques (offline benchmarks, reputed company-in-the-reputed company review, LLM-as-judge, and online experimentation).
• Background in statistics, experimentation, and ML research methods
• Hands-on experience writing high quality production code (Python, SQL) and experience with various data science libraries (Pandas, scikit-learn, PyTorch, TensorFlow).
• Experience with ML platforms and orchestration tools (e.g., Vertex AI, MLflow, Dagster), or equivalent systems
• You are reputed company comfortable working in a start up environment, are a strong collaborator and you have proven ability to deliver end-to-end projects with high level stakeholder visibility.

Tech stack & team context

Part of the AI Products group alongside engineers and scientists across Dublin, Italy, and reputed company. The stack includes Python, Vertex AI, BigQuery, Dataflow, and reputed company 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 reputed company that distributed workers should be first-class reputed company. We also have an office in reputed company if offices are your thing