A11
Lead Data Scientist (m/w/x)
Vollzeitmit HomeofficeSenior
Düsseldorf
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Developing end-to-end ML pipelines with Generative AI use cases for ambitious startups. 5-8 years of Data Science and ML experience required. Flexible hybrid work, company health management.
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Anforderungen
- 5-8 years of experience in Data Science and Machine Learning
- Confident application of statistical methods, regression models, time series analyses, classical ML, and modern AI algorithms
- High proficiency in Python and SQL
- Ability to independently develop value-adding, cloud-based solutions
- Experience with Generative AI use cases (LLMs, RAG systems, AI agents, chat interfaces)
- Proven track record building robust end-to-end ML pipelines
- Maintenance of MLOps standards (CI/CD, model registry, monitoring, quality checks)
- Hands-on ownership of machine learning models (feature strategy, training, calibration, backtesting)
- Experience with explainability methods (SHAP, Reason Codes)
- Clear communication of complex analytical results to business, IT, and management
- Translation of analytical results into actionable outcomes
- Experience mentoring and guiding other Data Scientists (advantageous)
- Fluent English
- Knowledge in German (nice to have)
- Knowledge in credit risk (PD, EAD, LGD, rating, IFRS 9/ECL) (ideal)
- Experience with SAP (ideal)
- Experience with Power BI (ideal)
Aufgaben
- Take full ownership of data-driven analyses
- Independently derive actionable recommendations to maximize business value
- Develop and apply advanced statistical methods
- Translate results into clear, compelling business insights
- Design and maintain robust end-to-end ML pipelines
- Implement testing, versioning, and documentation for ML pipelines
- Adhere to MLOps standards including CI/CD, model registry, monitoring, data-quality checks, and incident handling
- Collaborate closely with stakeholders and management
- Own the SmartRisk Engine, including feature strategy, training/retraining, calibration, backtesting, drift monitoring, and explainability via SHAP/Reason Codes
- Build data-driven use cases such as loss databases, early-warning systems, limit/exposure steering, clustering, and portfolio insights
- Develop new cloud-based Data Science solutions primarily in Python and SQL
- Drive measurable business value with new Data Science solutions
- Mentor and guide other Data Scientists
- Encourage innovative thinking within the team
- Actively support the team's professional growth
Berufserfahrung
5 - 8 Jahre
Ausbildung
Master-Abschluss
Sprachen
Deutsch – Grundkenntnisse
Englisch – fließend
Tools & Technologien
PythonSQLGenerative AILLMsRAG systemsAI agentschat interfacesMLOpsCI/CDmodel registrySHAPReason CodesSAPPower BI
Benefits
Flexibles Arbeiten
- Flexible hybrid working
Gesundheits- & Fitnessangebote
- Company health management
Firmenfahrrad
- Jobrad eBike leasing
Familienfreundlichkeit
- Parent-child offices
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A1
HRDüsseldorf
Das Unternehmen A11 ist ein Wachstumstreiber für Tech-Unicorns in Europa und bietet Expertise in Business Performance.
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