Senior Data Scientist - MAD/ BCN

• Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features…)
• Own features of the app, developing and constantly improving the models, pipelines and deliverables.
• Communicate and align with internal and external stakeholders: present results and findings, identify gaps and opportunities, explain the product and the AI behind.
• Provide technical and people leadership: define modelling/evaluation standards, mentor and level up teammates, and lead cross-functional delivery with PMs/engineers/customers to shape the roadmap and drive measurable business impact.

Journey to impact:

• Month 1: Deliver quick wins! Ship analysis, prototypes and improvements to existing pipelines. Present findings to internal and external stakeholders.
• Month 3: Take ownership. Run a project end-to-end, debug complex issues, deliver value autonomously, solve complex business problems, mentor your team and collaborate cross-functionally while engaging directly with customers.
• Month 6: Become a go-to expert. Develop deep expertise in key areas of our product, contribute to the roadmap, propose workflow improvements, and present solutions to leadership and customers.

Do you have experience in SaaS?, Do you have a Master's degree?, We're looking for an experienced professional (4+ years of experience) 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), and have deep expertise in at least one technical area (time series, optimization, recommendations, causal inference…)

• Business & product sense: You understand that AI is only valuable if it moves business metrics. You are skilled at identifying high-impact problems, choosing the right models and approaches, and validating your work with users and stakeholders. You prioritize by impact vs. effort and measure success using both model performance and business KPIs.
• 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 can break complex problems into shippable, value-adding steps.
• Communication & influence: You explain complex results clearly to internal & external stakeholders, adapt your message to different audiences, and 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.
• Leader and expert: Act as a technical lead and trusted business expert. Mentor and level up teammates, and turn expert domain knowledge of at least one area (e.g., finance, supply chain, retail, pharma) into a clear roadmap that delivers measurable business impact.
• Bonus points: PhD in a technical field, strong knowledge of software engineering best practices, familiarity with state-of-the-art LLMs/agentic systems.

• 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.

Founded 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.