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Data Scientist - Kaufland e-commerce
Data Scientist
Data Scientist driving insights for a leading e‑commerce marketplace, leveraging Python, ML, SQL and AWS to build scalable data pipelines and predictive models that enhance customer experience and business performance.
About the role
Key Responsibilities
- Design, develop and maintain end‑to‑end data pipelines using Python and SQL to ingest, clean and transform large volumes of transactional and behavioral data.
- Build and deploy machine learning models on AWS to predict customer churn, recommend products and optimize pricing strategies.
- Collaborate with product, engineering and business teams to translate business questions into analytical solutions and actionable insights.
- Perform exploratory data analysis, feature engineering and statistical testing to support hypothesis-driven experimentation.
- Document data models, workflows and model performance metrics for reproducibility and compliance.
Requirements
- 3+ years of experience in data science or analytics within a fast‑paced e‑commerce or marketplace environment.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and model development.
- Hands‑on experience with AWS services (S3, Redshift, SageMaker, Glue) and big data tools (Spark, Hive).
- Strong statistical background and ability to communicate complex findings to non‑technical stakeholders.
- Self‑motivated, collaborative mindset with a passion for continuous learning and innovation.
Skills
pythonmachine learningdata analysissqlaws