CareerPlan

Staff Data Scientist (m/f/d)

BerlinFull-time2026-10-28 → 2026-11-11

Core

Scientific conscience of data products, turning billions of location signals into production ML models for causal impact measurement, forecasting, and recommendations.

Role type

Staff Data Scientist (Scientific Lead)

Builds

Production ML models for causal campaign measurement, audience classification, visitation forecasting, and place/audience embeddings.

Domain

Programmatic advertising, location intelligence, geospatial data science

Deliverable

production ML models

Required skills

Causal inference, mathematical depth (probability, statistics, linear algebra), scientific rigour (pre-registration, power analysis), agentic coding, large-scale data engineering, production ML deployment, LLM fine-tuning and evaluation

Preferred skills

Geo-spatial data science (H3/S2), Bayesian statistics, time series forecasting, neural networks, LLM-based data science

Technologies

Python, SQL, AWS, PyTorch, TensorFlow, Keras, H3, S2, PyMC, Stan, NumPyro, Claude Code, Cortex

Responsibilities

Design, validate, and deploy models for causal measurement and forecasting; measure causal impact using counterfactual and synthetic-control models; build time series and embedding models; run science with coding agents; set methodological standards and mentor colleagues; explain complex algorithms to stakeholders and publish research.