AILY LABS

Junior Data Scientist - MAD/BCN/Cluj

Posted: just now

Job Description

MissionWhy Aily?Work on high-impact AI problems with forecasting, classification, regression, recommendations, LLMs or agents.Learn how to take ideas from inception to production, having an impact on Fortune-500 companiesCollaborate with talented Data Scientists, ML Engineers, Data Practitioners, PMs and domain experts.Competitive package: top salary + performance bonus, private health insurance, flexible benefits (Cobee), hybrid work policy. About This RoleBuild and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features…)Contribute to features of our app, developing and constantly improving the models, pipelines and deliverables.Communicate with your teams: present results and findings, identify gaps and opportunities, learn to explain the product and the AI behind.Journey to impact:Month 1: Deliver quick wins! Ship analysis, prototypes and improvements to existing pipelines. Present findings to internal stakeholders.Month 3: Take ownership. Contribute to a project, debug issues, deliver value for the team, and collaborate cross-functionally while engaging with customers with senior support.Month 6: Become a go-to expert. Develop expertise in several areas of our product, propose workflow improvements, and present solutions to leadership and customers with support.Your profileWho We’re Looking For We’re looking for someone who thrives at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they’re applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.Technical stack: You are comfortable writing and debugging in Python and SQL. You have hands-on experience training or fine-tuning ML models (classic ML or LLMs).Business & product interest: You understand that AI is only valuable if it moves business metrics. You are interested in identifying high-impact problems, choosing the right models and approaches, and want to learn to validate your work with users and stakeholders.Scientist & builder: Curious and persistent, you try multiple approaches, analyze results, and iterate fast. You know when to experiment with cutting-edge techniques and when to pick simple, reliable solutions that can scale. You are interested in breaking complex problems into shippable, value-adding steps.Communication & influence: You explain complex results clearly to stakeholders, adapt your message to different audiences, and want to work cross-functionally with product, engineering, and business teams. Startup mindset: You are comfortable with ambiguity and open-ended problems. You are autonomous and proactive: when you see something broken, you fix it or propose improvements.Bonus points: Knowledge of software engineering best practices, familiarity with state-of-the-art LLMs/agentic systems, interest in a technical (time series, optimization, recommendations, causal inference…) or business topic (finance, manufacturing, supply chain, pharma...).Who are we?About UsFounded 2020 in Munich, we are a rapidly expanding scale-up in the B2B SaaS area. We've already assembled a super innovative, smart and fun team of 320+ highly motivated employees around our offices in Munich, Barcelona, Madrid, Cluj and New York.  At Aily Labs, we have the bold mission to democratize AI. Our groundbreaking product is an AI-powered mobile app that uses cutting edge GenAI traditional ML to unlock valuable business insights and gives personalized recommendations. Our aim? Disrupting the way corporate entities operate, paving the way for the world's first AI decision intelligence platform that enables faster, simpler and smarter decision-making across the entire value chain, aiming towards full Agentic automation of key business goals.About UsLEARN MORE

Job Application Tips

  • Tailor your resume to highlight relevant experience for this position
  • Write a compelling cover letter that addresses the specific requirements
  • Research the company culture and values before applying
  • Prepare examples of your work that demonstrate your skills
  • Follow up on your application after a reasonable time period

You May Also Be Interested In