Senior Data Scientist (m/f/d)

TechMinds GmbH; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

VSOP equity participation

Home-Office possibilities

30 vacation days

Relocation support to Berlin

Zusammenfassung

TechMinds GmbH in Berlin seeks a highly skilled quantitative forecasting expert to advance distributional forecasting models and production-ready pipelines. You will shape methodological directions, work across data, ML evaluation and implementation in live order recommendations.

The role emphasizes inventory simulation, supplier interplay and collaboration with engineering, product, and customer operations, with a strong focus on code quality and deployment readiness.

Qualifikationen

• MSc or PhD in a quantitative field such as statistics, mathematics, physics, operations research or computer science.
• Experience building systems that make decisions under uncertainty with real operational impact.
• Background in probabilistic forecasting, stochastic inventory simulation or OR with knowledge across others.
• Deep familiarity with distributional and probabilistic forecasting methods (quantile regression, distributional LGBM, GAMLSS, conformal).
• Solid grounding in stochastic inventory theory, newsvendor models, service level optimisation.
• Production-grade Python and SQL on large real-world data; ML model evaluation in production.
• Comfort with GCP tools (BigQuery, Cloud Run, Vertex AI) and dbt; workflow orchestration (Airflow/Cloud Composer), Git, containerisation, CI/CD.
• Daily use of agentic AI coding tools (Claude Code, Cursor).
• Translate complex math into product decisions for non-technical stakeholders.
• Experience in supply chain optimisation, demand planning or retail; startup/scale-up background.
• Fluent in English; German not required.

Aufgaben

• Develop and improve distributional forecasting models, across architecture, calibration and coverage.
• Monitor forecast quality metrics and act when performance degrades.
• Identify limits of current approaches and shape methodological next steps.
• Contribute to inventory simulation and ordering policy framework; push to production.
• Shape technical direction and maintain high code quality, testability and production readiness.
• Own end-to-end pipeline quality from data integrity to live order recommendations; backtesting and monitoring.
• Deliver production-grade code with readable, well-reviewed artifacts; use AI coding tools daily.
• Collaborate with engineering, product, sales and customer ops; translate store findings into product improvements.

Kenntnisse

Forecasting methods

Python

SQL

GCP

Airflow

dbt

Conformal prediction

Quantile regression

Inventory theory

Operations research

English fluency

LGBM distributional output

GAMLSS

Supply chain optimization

Retail experience

Git

Containerisation

CI/CD

Claude Code

Cursor

Ausbildung

MSc or PhD in a quantitative field (statistics, mathematics, physics, OR, CS)

Tools

BigQuery

Cloud Run

Vertex AI

Airflow/Cloud Composer

Git

Docker

CI/CD

dbt

Claude Code

Cursor

Jobbeschreibung

Your Tasks

• 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

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

Your Benefits

• 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

Your Profile

• 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