Decision Intelligence Analyst, Aily Labs

• We're looking for an analytical and execution-driven professional who combines technical aptitude with a strong sense of ownership and business curiosity
• Educational background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
• Technical foundation: Proficiency in Python and SQL; solid understanding of data structures and modeling concepts
• Execution mindset: Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality
• Operational ownership: Comfortable taking responsibility for the quality and performance of the solutions you manage
• Learning agility: Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures
• Collaboration: Clear communicator who works effectively across technical and non-technical stakeholders
• Adaptability: Able to context-switch across different industries, business functions, and client environments
• User empathy: Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful

Desirable

• As a Decision Intelligence Analyst, you will be at the heart of how Aily's platform comes to life for our clients. You will own the day-to-day execution of client integrations — preparing and managing data, running and optimizing AI models, and ensuring that every tenant delivers the highest possible quality and business impact
• This is a hands-on, execution-focused role for someone who is analytical, detail-oriented, and genuinely excited about making AI work in the real world. You will work closely with an AI Delivery Lead and collaborate across client-facing and technical teams to turn business needs into working, high-impact AI solutions
• Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness
• Adapt and configure data models to fit specific client contexts, business processes, and decision workflows
• Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants
• Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance
• Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues
• Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted
• Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact
• Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements