onsite
Director, Data Science - Deep Learning & AI
Data Scientist
Lead a high‑impact data science team focused on deep learning and AI, driving advanced A/B testing, attention‑based models, and data transformation with DBT to deliver actionable insights and scalable solutions.
About the role
Key Responsibilities
- Architect and oversee end‑to‑end deep learning pipelines, ensuring robust model performance and reproducibility.
- Design and execute sophisticated A/B testing frameworks to validate model improvements and business hypotheses.
- Implement attention‑mechanism architectures to enhance model interpretability and accuracy across diverse datasets.
- Lead data transformation initiatives using DBT, ensuring clean, versioned, and well‑documented data assets.
- Collaborate with cross‑functional teams to translate business needs into data‑driven solutions and present findings to stakeholders.
Requirements
- 10+ years of experience in data science with a strong focus on deep learning and AI.
- Proven expertise in A/B testing, statistical analysis, and experimental design.
- Hands‑on experience with attention‑based models (e.g., Transformers) and large‑scale neural network training.
- Proficiency in DBT and modern data warehousing tools.
- Excellent communication skills and a track record of leading high‑performing teams.