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# Senior Data Scientist

- **Company:** Clera
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Salary:** €70,000.0 - €110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, BigQuery, Software Quality, Continuous Integration, Data Integrity, Cursor, Python (Programming Language), Machine Learning, SQL Databases, Workflow Management Systems, Git, Containerization, Information Technology
- **Published:** September 5, 2026
- **Apply:** https://www.adzuna.de/details/5870831480

## About the Role

* 5+ years building systems that make decisions under uncertainty with real operational consequences - not research prototypes.
 * MSc or PhD in a quantitative field (Statistics, Mathematics, Physics, Operations Research, Computer Science, or similar).
 * Background in probabilistic forecasting, stochastic inventory simulation, or operations research, with solid working knowledge across all three.
 * Deep familiarity with distributional and probabilistic forecasting methods: quantile regression, LGBM with distributional output, GAMLSS-type models, conformal prediction.
 * Solid grounding in stochastic inventory theory, newsvendor models, and service level optimisation.
 * Production-grade Python and SQL on large, messy, real-world datasets.
 * Experience with ML model evaluation, monitoring, and backtesting in production environments.
 * Comfortable with GCP (BigQuery, Cloud Run, Vertex AI), dbt, and workflow orchestration (Cloud Composer, Airflow).
 * Strong software engineering practices: Git, containerisation, CI/CD.
 * Daily fluency with agentic AI coding tools (e.g. Claude Code, Cursor, or similar).
 * Fluent in English; German or French is a strong plus.
 * Domain knowledge in supply chain optimisation, demand planning, or perishables/grocery retail is a valuable plus.
 * Prior startup or scale-up experience is a plus.

## Description

You'll join a small, senior Data Science team tackling one of the hardest forecasting problems in retail: fresh produce ordering. Every decision is a daily tradeoff between waste and availability, with immediate, visible impact in live stores - this is production ML with real operational consequences.
What You'll Do

 * Develop and improve distributional forecasting models, working across architecture, calibration, and coverage.
 * Monitor forecast quality metrics consistently and act swiftly when performance degrades.
 * Contribute meaningfully to inventory simulation and ordering policy frameworks, driving improvements through to production.
 * Shape technical direction in your focus area, contributing to methodology decisions and upholding high standards for code quality and production readiness.
 * Own end-to-end pipeline quality, from input data integrity through forecast output to live order recommendation performance.
 * Conduct ongoing monitoring and regular backtesting evaluations to assess model impact before issues reach stores.
 * Ship production-quality, well-tested, readable code with thorough review.
 * Leverage agentic AI tooling to work efficiently without compromising on craft.
 * Collaborate with Customer Success and Engineering to translate store-level findings into product improvements.