Location: Madrid

About the Role

We are looking for experienced and inspiring data science leaders who are excited to take ownership of critical areas in the business—such as product optimization, personalization, or marketing—and lead small, collaborative teams to deliver meaningful impact.

As a Lead Data Scientist at Fever, you will combine strong technical skills with an ability to work across diverse teams and projects. You'll use data to solve complex business problems while also supporting the growth and development of your teammates.

This is a highly cross-functional and visible role where your work will directly shape key business and product decisions. You’ll have the chance to influence the direction of the Data Science team and contribute to our shared culture of learning, innovation, and inclusion.

What You’ll Do

• Take full ownership of strategic data science projects, from exploration to deployment
• Guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
• Design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
• Collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
• Help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
• Play an active role in hiring, onboarding, and nurturing an inclusive team culture
• Partner with senior leaders to inform strategic planning for the Data function at Fever

Who You Are

• You have strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus).
• You are confident in exploring data, designing models, and evaluating their performance with rigor
• You thrive in ambiguity, balancing tech health with speed of impact and learning, and are able to help a team incorporate new information as it emerges
• You are skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.).
• You write clean, maintainable, and reproducible code, and can also prototype ideas quickly when needed
• You have experience leading data science projects and know how to deliver valuable insights without overcomplicating the solution
• You enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
• You are curious, resourceful, and proactive when faced with complex challenges.
  
  

Nice to Have

• Experience with recommendation systems, Bayesian modeling, or causal inference
• Background in growth, marketing analytics, or digital product optimization
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow
• Exposure to experimentation platforms or production ML pipelines.
  
  

Benefits & Perks

• Bonus linked to performance
• Stock options
• 40% discount on all Fever events and experiences
• Flexible hybrid model
• Health insurance and flexible compensation options via Cobee
• English classes
• Gympass membership
• Salary advance via Payflow

The Team:

Celonis Services is a strategic organization focused on optimizing our customers' business processes through technical expertise. We integrate Consulting Services, Academy, and Customer Support to deliver comprehensive solutions. As thought leaders with deep product, technical, and domain expertise, we specialize in implementing Celonis to drive the adoption of process intelligence, ultimately transforming and improving our customers' core business operations. We achieve this by leveraging our best practices, extensive delivery experience, award-winning enablement programs, and robust support infrastructure.

The Role:

As a Principal AI Deployment Architect, you will work directly with customers to understand their problems and design, deploy and scale innovative AI solutions and automations using our Process Intelligence platform. In a pre-sales and post sales capacity you will work closely with other AI experts across Product & Engineering and GTM to standardize these solutions and bring them to our customer base at scale. We are ideally looking for individuals with in-depth practical experience in delivering solutions to our customers.

The work you’ll do:

• Architect & Deploy: Prototype, develop, and scale end-to-end AI solutions tailored to customer needs, leveraging Python, LLM-based architectures (RAG), and Machine Learning models.
• Strategic Alignment: Pitch the Celonis AI value proposition to C-level stakeholders, aligning our Process Intelligence capabilities with their broader enterprise AI strategy.
• Scale Innovation: Identify high-impact AI use cases across the Celonis platform and package them into scalable, repeatable offerings (e.g., via the Machine Learning Workbench).
• Lead "Lighthouse" Projects: Define and execute the technical roadmap for AI Lighthouse customers, ensuring successful value realization from pilot to production.
• Cross-Functional Feedback: Act as the technical voice of the customer, collaborating with Product & Engineering to influence the roadmap for AI Agents and automation capabilities.
• Enablement & Evangelism: Train internal teams on AI deployment best practices and share success stories to elevate the organization’s technical maturity.
• Full-Stack Implementation: Design and architect deployments that seamlessly integrate AI, Process Intelligence, and Automation into complex enterprise IT landscapes.

The preferred qualifications you need:

• Consultative Background: 10+ years experience in a technical, customer-facing role (e.g., SaaS Provider, Consultancy, or Enterprise Center of Excellence) with a focus on delivering business value through data.
• Problem Solving: Excellent analytical thinking skills, with a track record of mapping unstructured business pain points to specific technical AI solutions.
• Communication: Ability to translate complex architectural concepts into actionable insights for non-technical stakeholders and executives.
• Core Development: Strong proficiency in Python for data science and production engineering (Experience with Pandas, NumPy, or similar libraries).
• AI/ML Proficiency: Proven experience developing and deploying AI solutions for enterprises. Must have a portfolio showcasing successful use cases in either predictive ML or Generative AI (LLMs).
• Architecture & Scale: A strong visionary mindset with the ability to design scalable, extensible, and fault-tolerant architectures.
• Production Standards: Experience with production-level acceptance testing, CI/CD, and delivering end-to-end solutions that are robust and secure.