Senior Data Scientist (m/f/d)

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Your missionYou turn data into decisions for a pan-European business. As a Senior Data Scientist in our newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit built and run like a startup, you will help transform complex business challenges into data-driven decisions. Working closely with stakeholders across the organization, you will develop analyses, experiments, and models that create measurable business impact and shape the future of AI-driven decision-making at EDRI. You report to our Head of AI Strategy. 

Your Responsibilities 
Translate business challenges into analyses, predictive models, and actionable recommendations
Build and validate statistical, machine learning, and optimization models to support strategic decision-making
Design experiments and measure real business impact, beyond correlation, using rigorous analytical methodologies
Collaborate with AI/ML Engineers to bring analytical models into production environments
Communicate insights, assumptions, and uncertainty clearly to stakeholders up to CEO level
Establish best practices and standards for analytics, experimentation, and model development
Evaluate emerging AI models, AI tooling, and agentic systems and use what works to accelerate analysis workflows
Drive data-informed decision-making across business functions and regions
Share knowledge and support the development of junior colleagues – this is a senior individual contributor role

Your profileYou are a commercially minded Data Scientist who combines strong analytical rigor with the ability to influence business decisions. You enjoy tackling ambiguous problems, turning data into insights, and delivering measurable outcomes. 

Must have 
Proven experience delivering analyses and models that influenced real business decisions
Strong background in statistics, including hypothesis testing, experimentation, and causal inference
Excellent programming skills in Python and SQL
Deep expertise in at least one area such as forecasting, optimization, causal inference, or Bayesian methods
Ability to communicate complex analytical findings to non-technical audiences
Strong commercial mindset with a focus on business impact and value creation
Experience working with machine learning techniques and data-driven decision-making frameworks
Curious, pragmatic, and passionate about solving complex problems through data and