Senior Data Scientist

The role will focus on applying data science to business operations, whereby the candidate will need to understand stakeholders’ business needs, translate them into data science projects, build the required analytical data pipelines, and then build and deliver production-grade code for models and analytics to the stakeholder.
This role will have a particular focus on productionalizing model code to ensure the models perform well enough to be part of a comprehensive deployed analytics solution.
This position will report to the organization of the Chief Data and Analytics Officer (CDAO) and will partner with multiple functions (digital transformation, emerging technologies, operations, finance, competitive intelligence, business development, etc.) to apply data science tools and techniques to real-world challenges within the corporation.
The selected candidate will leverage strong data science skills from every step of the analytics pipeline (problem formulation, data collection, wrangling, cleaning, exploratory analysis, modeling, visualization, presentation, productionalization) in order to achieve success in his/her projects.
Tools and technologies which the candidate will use include Python, R, Tableau, and various forms of advanced technology.
The candidate will be expected to apply various techniques and statistical inference techniques to business problems throughout the corporation.