Junior Data Scientist - MAD/BCN/Cluj

• Build 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., 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...).

Do you have experience in SaaS?, Do you have a Master's degree?

• 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 companies
• Collaborate 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.