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Senior Data Scientist - Customer Analytics - Deichmann SE
Data Scientist
Lead customer‑analytics initiatives by building predictive models, designing experiments and delivering actionable insights using Python, SQL and cloud‑based machine‑learning tools.
About the role
Key Responsibilities
- Develop and deploy predictive and segmentation models to improve customer acquisition, retention and cross‑selling.
- Design and analyze A/B tests and other experimental frameworks to evaluate marketing and product initiatives.
- Collaborate with product, marketing and engineering teams to translate business problems into data‑driven solutions.
- Build automated data pipelines and dashboards for real‑time monitoring of key customer metrics.
- Mentor junior analysts and promote best practices in statistical modeling and code quality.
Requirements
- 5+ years of experience in data science or analytics, preferably in retail or e‑commerce.
- Strong proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL for data extraction and manipulation.
- Hands‑on experience with machine‑learning algorithms, statistical modeling, and experimental design.
- Familiarity with cloud platforms (AWS, S3, SageMaker) and containerized deployment.
- Excellent communication skills to present complex findings to non‑technical stakeholders.
Skills
pythonsqlmachine learningaws