Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy
Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools
Implement robust data quality frameworks, monitoring, and alerting systems at scale
Optimize data workflows for cost, performance, e and reliability across multiple datasets
Mentor junior team members on data engineering best practices and tooling
Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team
Own key features and projects; design and improve models, pipelines, and experimentation frameworks
Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs
Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers




Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision
Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies
Lead simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases
Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy
Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members
Benefits Fast growth path
Hybrid working model
Integral company and culture
Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‐on when something needs fixing or improving
A strong communicator who adapts the message to different audiences an

📌 Lead Data Scientist (Madrid)
🏢 Aily Labs
📍 Madrid