Applied Data Scientist: ML, Statistics & Modeling

Crossing Hurdles is seeking a data scientist to design and execute statistical analyses, uncover actionable insights from complex datasets, and develop robust ML models.

You will apply data modeling techniques and manage large-scale data transformations using Python and Pandas, collaborating with stakeholders to define experiments.

This role requires excellent written and verbal communication to document methodologies, findings, and recommendations with clarity and precision.