-Have deep technical expertise in forecasting and optimization techniques, as well as experience in building, implementing, and driving consumption for related decision science applications.

-Develop and deliver machine learning and time series models, scenario-planning engines and optimization solutions that drive measurable business impact.

-Have experience in scaling and maintaining machine learning models with know-how of automated training, validation, and monitoring of these models.

-Any experience in building advertising auction prediction and bid optimization solutions is a plus.

-Ability to understand the Gannett business model deeply and to effectively translate model outcomes into actions and recommendations that lead to decisions and measurable ROI.

-Have deep experience in and ability to present compelling data stories to both technical and non-technical stakeholders and C-level executives.