Das ist der Job
Responsibilities Develop and deploy machine‑learning models in production environments.
Darum lohnt es sich
Role Overview
This Senior Data Scientist on the Digital Twins team will apply data science to live production environments, improving the quality, reliability, and performance of high-volume data systems used by global research operations.
Tech Environment
You will work with modern data and analy Work end‑to‑end across the data science lifecycle: problem definition, modelling, deployment, and monitoring. Analyse new and existing data sources to improve decision‑making and model performance. Design feedback loops that continuously improve outcomes and data quality.
Collaborate closely with engineers to deliver scalable, reliable model predictions. Communicate technical insights clearly to non‑technical stakeholders. Qualifications Solid experience working as a data scientist on real‑world, production problems. Strong Python skills (or a similar language used in applied data science).
Experience with supervised learning and unsupervised techniques such as anomaly detection. Exposure to cloud‑based model training, deployment, and automation. Strong sense of ownership and accountability for data science outputs. Experience working with large consumer datasets or high‑traffic platforms is an advantage, but not essential.
