Data Scientist Manager

Required Qualifications

Master's degree or equivalent

Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.

Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.

Experience with statistical programming (SAS, R, Python, SQL, etc.) & data visualization software in a data-rich environment.

Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.

Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.

Ability to work effectively in a collaborative team environment.