Public summary
Hiring a Data Scientist to design, build, and deploy AI and machine learning solutions, leveraging advanced technologies including GenAI and large language models. Role involves collaboration with multiple business units, transforming complex questions into data-driven solutions, and building scalable cloud-based applications. Experience in Python or R, ML, statistics, cloud platforms, and production model deployment required. The position supports hybrid work and promotes inclusivity for all genders.
Location and work setup
- Location
- Baden-Baden, Cologne
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Design, develop, and deploy machine learning and AI models for forecasting, recommendations, pricing, customer segmentation, and optimization. Utilize GenAI and LLM technologies to automate processes and improve business decisions. Collaborate with diverse teams across the organization. Translate ambiguous business needs into actionable analytical frameworks. Build scalable solutions on cloud platforms. Assess and determine the most effective AI or ML approaches for business value.
Qualifications
Minimum 5 years in data science with strong skills in Python or R, machine learning, and statistics. Experience with cloud platforms like Azure and Databricks, and deployment of models into production environments. Strong knowledge of experimental design and causal inference. Understanding of data engineering concepts including pipelines, APIs, and orchestration. Excellent business curiosity, communication, stakeholder management, critical thinking, and adaptability.