Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.

Explore, clean, and analyze large datasets to uncover insights and trends.

Build prototypes, run experiments, and contribute to model evaluation and validation.

Work with engineering teams to integrate models into production pipelines.

Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms).

Build dashboards and reports that communicate findings to business partners.

Participate in code reviews and follow team best practices.

2+ years of experience in data science or applied machine learning.

Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM).

Solid SQL skills a...