Senior Data Scientist (m/f/d)

Growing software company for grocery retail in Berlin: You develop and improve distributional forecasting models across architecture, calibration and monitoring.

Ihre Aufgaben

• 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

Ihr Profil

• 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

Ihre Vorteile

• 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

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