Senior Data And Applied Scientist (AI)

TL;DR

Senior Data and Applied Scientist (AI): Shaping the future of local search by designing new relevance metrics, building labeling pipelines, and fine-tuning language models. Focus on prompt engineering, implementing modern language models techniques, and creating scalable workflows for measurement and evaluation to improve search quality.

Location: Barcelona, ES. Employees who live within a 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Design and implement new relevance metrics to measure and improve local search quality.
• Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
• Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
• Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
• Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
• Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.

Requirements

• Doctorate OR Master’s Degree OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• Relevant years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Ability to meet hirify.global, customer and/or government security screening requirements are required for this role.

Culture & Benefits

• Accelerate your career growth by working on state-of-the-art AI systems.
• Develop deep expertise in prompt engineering and model tuning.
• Hone your skills in building robust data pipelines and quality frameworks.