Senior Data Scientist

Job Title: Senior Data Scientist

Location: Lichtenberg, Berlin, Germany

Type: Full Time

Our client is seeking a highly motivated Data Scientist to join their Logistics Decision Systems team, where data-driven intelligence meets real-world operational impact. This role focuses on designing advanced decision-making systems that go beyond traditional predictive models—leveraging cause-and-effect understanding to drive long-term efficiency and stability across complex networks.

The successful candidate will play a key role in shaping intelligent automation, developing innovative solutions, and influencing strategic decisions through data-driven insights.

Key Responsibilities

• Build and deploy advanced machine learning systems that support automated decision-making in dynamic operational environments.
• Develop models that capture causal relationships, optimizing long-term system performance rather than short-term outcomes.
• Propose innovative ideas, build strong business cases, and present solutions effectively to stakeholders.
• Design operational strategies and control systems that balance reliability with efficiency.
• Create and execute robust validation frameworks, ensuring models are safe and effective before real-world deployment.
• Utilize simulation techniques and counterfactual analysis to test hypotheses and refine decision logic.
• Collaborate closely with Engineers and Operations Research Scientists to translate predictive insights into actionable outcomes.
• Contribute to the development of hybrid systems where machine learning complements optimization methods.
• Support the design of experimental environments for training, testing, and validating intelligent decision agents.
• Foster collaboration within the team and mentor junior colleagues where needed.

Candidate Profile

Technical Expertise

• Strong background in data science and machine learning, with hands-on experience deploying models in production environments
• Experience working with sequential decision-making problems (e.g., pricing, inventory, robotics, recommendation systems, or similar domains)
• Deep knowledge in at least one of the following areas: Simulation, Reinforcement Learning, Control Theory, or Causal Inference
• Proficiency in Python (pandas, scikit-learn, etc.) and strong SQL skills
• Solid understanding of software engineering practices, including version control, testing, and model lifecycle management
• Experience with containerization tools such as Docker for reproducible environments

Core Skills & Attributes

• Strong systems thinking, with the ability to understand complex interactions and feedback loops
• Leadership capabilities, including mentoring and fostering collaboration within teams
• End-to-end project ownership, from ideation and business case development to deployment
• Ability to generate innovative solutions, rigorously test assumptions, and present findings convincingly
• Critical mindset with the confidence to challenge ideas and improve outcomes
• Preference for practical, scalable, and efficient solutions in complex settings
• Experience working in agile, cross-functional teams
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders