Job Description
Job Scope
This role will be at the intersection of data science, applied machine learning, and software
engineering. You will be involved in:
1. Model Development
Design and conduct experiments to evaluate emerging SDG models (e.g.,
DDPM, ARF, Gaussian Copula).
Investigate failure cases (e.g., when models fail with certain data types, size, or
cardinality).
Tune hyperparameters, refine architectures, and propose new modeling
strategies.
2. Feature & Product Development
Collaborate with software engineers to build product features that require ML/DS
input (e.g., imputation methods, handling of constraints, preprocessing pipelines).
Recommend and develop suitable approaches for features like
single-/multi-column constraints, imputation strategies, and privacy metrics.
3. Diagnostics & Debugging
Work directly with users and the engineering team to dia...