remote
Senior Applied Data Scientist - dunnhumby
Data Scientist
Lead advanced analytics projects for global retail clients, leveraging Python, machine learning, and AWS to deliver actionable insights that drive customer-centric strategies.
About the role
Key Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines using Python and AWS services to solve complex customer data challenges.
- Collaborate with cross‑functional teams to translate business objectives into data science solutions, ensuring alignment with client goals.
- Apply advanced statistical modeling and deep learning techniques to uncover patterns in large, heterogeneous datasets.
- Communicate findings through clear visualizations and executive‑level presentations, translating technical results into strategic recommendations.
- Mentor junior data scientists, fostering a culture of continuous learning and best practices.
Requirements
- 10+ years of experience in data science, with a strong focus on applied machine learning.
- Proficiency in Python, SQL, and AWS (SageMaker, Redshift, EMR).
- Deep expertise in statistical modeling, deep learning frameworks (TensorFlow/PyTorch), and large‑scale data processing.
- Excellent communication skills and proven ability to influence stakeholders at all levels.
- Experience in the retail or consumer goods sector is highly desirable.
Skills
pythonmachine learningsqlawsdeep learning