Position Summary:

The Data Scientist has a solid understanding of advanced analytics and big data and will be responsible for refining existing statistical models and developing new ones to support business decision making. The Data Scientist will partner with direct team members as well as cross-functional partners and decision makers. This person’s primary focus will be to develop, refine, deploy and productionize impactful data science projects to business users.

Position Responsibilities may include, but not limited to:

Identify best or most applicable analytical techniques for a given business problem.

Develop and deploy statistical and machine learning models to address business problems using R, Python and others.

Maintain and refine existing models and related processes.  

Utilize statistical or time-series models to make predictions on future outcomes in multiple scenarios.

Implement models and create processes to monitor their performance, including input data integrity.

Employ data visualization tools and codes where appropriate (e.g., Power BI, Tableau, ggplot, and others).

Partner with Data Analytics teams and IT / BI / Data teams to ensure data used for modeling accurately reflects business reality.

Effectively communicate model approaches, outputs and findings to IT and Analytics audiences.  

Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics. 

Ensure modeling processes always conform to data security standards.