remote
Senior Data Science Engineer - dunnhumby
Data Scientist
Lead the design and deployment of advanced data science solutions, leveraging Python, SQL, and machine learning on cloud platforms to drive customer‑centric insights for major retail and consumer brands.
About the role
Key Responsibilities
- Architect, develop, and productionize machine‑learning models and analytical pipelines that solve complex retail and consumer‑behavior problems.
- Collaborate with cross‑functional teams—including product, engineering, and business stakeholders—to translate business objectives into data‑driven solutions.
- Design and implement scalable data processing workflows using Spark, SQL, and cloud services (AWS) to handle large‑volume customer datasets.
- Perform advanced statistical analysis and experiment design to evaluate model performance and business impact.
- Mentor junior data scientists and engineers, fostering best practices in code quality, version control, and reproducibility.
Requirements
- 5+ years of experience in data science or machine‑learning engineering, preferably in retail, consumer goods, or related industries.
- Strong proficiency in Python (pandas, scikit‑learn, PySpark) and SQL for data manipulation and analysis.
- Hands‑on experience building, deploying, and monitoring models in cloud environments such as AWS (SageMaker, EMR, Lambda).
- Deep understanding of statistical modeling, experiment design, and evaluation metrics.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonsqlmachine learningaws