{"id":60327,"title":"Senior Data Scientist (m/f/d)","company":"TechMinds GmbH","city":"Berlin","region":"Berlin","location":"10117 Berlin","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":["data_science"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-09-05T00:00:00+00:00","tools":["Python","SQL","Google Cloud","BigQuery","Vertex AI","dbt","Apache Airflow","Git"],"seniority":"senior","years_experience_min":null,"german_requirement":"not_required","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.9,"method":"rules","language_badge":"No German needed","language_evidence":"lanning or retail, ideally combined with startup or scale-up experience You are fluent in English; German is not required Benefits You receive an attractive compensation package including equity participation (VSOP) Home","requirements_snippet":null,"url":"https://www.arbeitsagentur.de/jobsuche/jobdetail/12288-4931146844-S","source":"bundesagentur","agency":"company","description_text":"About Us TechMinds is an HR consultancy with a main focus on Tech &\nIT. Your advantage: Through us, your application documents are sent\ndirectly to the decision maker. In addition, you benefit from free\nadvice on all your career questions. And you get an authentic insight\ninto the daily work routine of your potential employer at an early\nstage. Tasks You develop and improve the distributional forecasting\nmodels of a growing software company in the grocery retail sector,\nworking across model architecture, calibration and coverage You deepen\nexisting production models, monitor forecast quality metrics\ncontinuously and act quickly when performance degrades You identify\nwhere current approaches reach their limits and shape what comes next\nmethodologically You make substantial contributions to the inventory\nsimulation and ordering policy framework and drive improvements\nthrough to production You shape the technical direction in your focus\narea, contribute to methodology decisions and hold a high bar for code\nquality, testability and production readiness across the team You take\nresponsibility for end-to-end pipeline quality, from input data\nintegrity through forecast output to the performance of live order\nrecommendations, including regular backtesting and monitoring You ship\nproduction-quality work with well-tested, readable and thoroughly\nreviewed code, using agentic AI coding tools (e.g. Claude Code,\nCursor) as part of your daily workflow You work closely with\nengineering, product, sales and customer operations and translate\noperational findings from store level into product improvements\nProfile You hold an MSc or PhD in a quantitative field such as\nstatistics, mathematics, physics, operations research or computer\nscience You have built systems that make decisions under uncertainty\nwith real operational consequences, not just research prototypes Your\nbackground is in at least one of probabilistic forecasting, stochastic\ninventory simulation or operations research, with solid working\nknowledge across the others You are deeply familiar with\ndistributional and probabilistic forecasting methods (e.g. quantile\nregression, LGBM with distributional output, GAMLSS-type models,\nconformal prediction) You have a solid grounding in stochastic\ninventory theory, newsvendor models, related ordering policies and\nservice level optimisation You write production-grade Python and SQL\non large, messy, real-world data and have experience with ML model\nevaluation and monitoring in production settings You are comfortable\nworking with GCP (BigQuery, Cloud Run, Vertex AI) and dbt, and you are\nfamiliar with workflow orchestration (Airflow or Cloud Composer), Git,\ncontainerisation and CI/CD You use agentic AI coding tools (Claude\nCode, Cursor or similar) with daily fluency You translate complex\nmathematical reasoning into decisions that product teams and\nnon-technical colleagues can act on You ideally bring experience from\nsupply chain optimisation, demand planning or retail, ideally combined\nwith startup or scale-up experience You are fluent in English; German\nis not required Benefits You receive an attractive compensation\npackage including equity participation (VSOP) Home-Office\npossibilities 30 vacation days You receive individual relocation\nsupport if you are moving to Berlin Kontakt Further details apart from\nthe job description as well as information about the company are\navailable during the application process.","responsibilities_text":null,"requirements_text":null,"status":"open","duplicate_of":null,"first_seen":"2026-11-02T17:02:47.548718+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","SQL","Google Cloud","BigQuery","Vertex AI","dbt","Apache Airflow","Git","CI/CD"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"ptimisation, demand planning or retail, ideally combined with startup or scale-up experience You are fluent in English; German is not required Benefits You receive an attractive compensation package including equity par","source":"rules"},{"language":"german","requirement":"not_required","quote":"lanning or retail, ideally combined with startup or scale-up experience You are fluent in English; German is not required Benefits You receive an attractive compensation package including equity participation (VSOP) Home","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":null}