Senior Data Scientist (m/f/d)

Today, more than 40% of all food produced globally is wasted, causing $1.2 trillion in losses every year and carbon emissions six times higher than the entire aviation industry. Freshflow is building the AI operating system for the fresh food supply chain, starting with ordering and inventory optimisation for fresh departments. We already work with some of the largest grocery retailers in Germany and France (EDEKA, REWE, Carrefour, Intermarché, E.Leclerc), meaningfully reducing food waste while improving on-shelf availability. 93% of our order proposals are accepted by store staff. We are growing revenue 400% year over year and just closed our $10M Series A. You would join a small, senior, dedicated Data Science team, and bring your best work to the hardest forecasting problem in retail and develop cutting edge technology.

Responsibilities

Develop and improve distributional forecasting models, working across model architecture, calibration, and coverage; Deepen existing production models, monitor forecast quality metrics, and act swiftly when performance degrades; Identify where current approaches break and what comes next; Make meaningful contributions to the inventory simulation and ordering policy framework, seeing improvements through to production; Shape technical direction in your focus area, contributing to methodology decisions and holding a high bar for code quality, testability and production readiness; Contribute to end-to-end pipeline quality, including ongoing monitoring and regular backtesting evaluations; Ship production-quality, well-tested, readable, thoroughly reviewed code; Stay at the forefront of agentic AI tooling and use it to work efficiently; Collaborate closely with Customer Success and Engineering to translate store-level operational findings into product improvements

Requirements

MSc or PhD in a quantitative field (Statistics, Mathematics, Physics, Operations Research, Computer Science, or similar); Built systems that make decisions under uncertainty with real operational consequences; Background in at least one of probabilistic forecasting, stochastic inventory simulation, or operations research, with solid working knowledge across the others; Strong Python and SQL on large, messy, real-world data with production-grade code; Deep familiarity with distributional and probabilistic forecasting methods (e.g. quantile regression, LGBM with distributional output, GAMLSS-type models, conformal prediction); Solid grounding in stochastic inventory theory, newsvendor models, and related policies, service level optimisation; Experience with ML model evaluation and monitoring in production settings; Comfortable working with GCP (BigQuery, Cloud Run, Vertex AI) and dbt; Familiarity with workflow orchestration (e.g. Cloud Composer, Airflow) and software engineering practices including Git, containerisation and CI/CD; Daily fluency with agentic AI coding tools (Claude Code, Cursor or similar); Able to translate complex mathematical reasoning into decisions that product teams, Customer Success, and store operators can act on; Fluent in English

Nice to have

Experience in supply chain optimisation, demand planning, or perishables; Grocery retail domain knowledge; German or French; Previous startup or scale-up experience

Benefits

Equity participation (VSOP); Hybrid work, based in the Berlin office; Relocation support to Berlin; Fast, transparent hiring process typically taking 2-3 weeks