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• You develop and improve the distributional forecasting models of a growing software company in the grocery retail sector, working across model architecture, calibration and coverage
• You deepen existing production models, monitor forecast quality metrics continuously and act quickly when performance degrades
• You identify where current approaches reach their limits and shape what comes next methodologically
• You make substantial contributions to the inventory simulation and ordering policy framework and drive improvements through to production
• You shape the technical direction in your focus area, contribute to methodology decisions and hold a high bar for code quality, testability and production readiness across the team
• You take responsibility for end-to-end pipeline quality, from input data integrity through forecast output to the performance of live order recommendations, including regular backtesting and monitoring
• You ship production-quality work with well-tested, readable and thoroughly reviewed code, using agentic AI coding tools (e.g. Claude Code, Cursor) as part of your daily workflow
• You work closely with engineering, product, sales and customer operations and translate operational findings from store level into product improvements

• You hold an MSc or PhD in a quantitative field such as statistics, mathematics, physics, operations research or computer science
• You have built systems that make decisions under uncertainty with real operational consequences, not just research prototypes
• Your background is in at least one of probabilistic forecasting, stochastic inventory simulation or operations research, with solid working knowledge across the others
• You are deeply familiar with distributional and probabilistic forecasting methods (e.g. quantile regression, LGBM with distributional output, GAMLSS-type models, conformal prediction)
• You have a solid grounding in stochastic inventory theory, newsvendor models, related ordering policies and service level optimisation
• You write production-grade Python and SQL on large, messy, real-world data and have experience with ML model evaluation and monitoring in production settings
• You are comfortable working with GCP (BigQuery, Cloud Run, Vertex AI) and dbt, and you are familiar with workflow orchestration (Airflow or Cloud Composer), Git, containerisation and CI/CD
• You use agentic AI coding tools (Claude Code, Cursor or similar) with daily fluency
• You translate complex mathematical reasoning into decisions that product teams and non-technical colleagues can act on
• You ideally bring experience from supply chain optimisation, demand planning or retail, ideally combined with startup or scale-up experience
• You are fluent in English; German is not required

• You receive an attractive compensation package including equity participation (VSOP)
• Home-Office possibilities
• 30 vacation days
• You receive individual relocation support if you are moving to Berlin

Further details apart from the job description as well as information about the company are available during the application process.