The Data Scientist turns data into high value assets in the form of insights and predictive models that contribute to measurable improvements in business process and performance. The Data Scientist II is expected to work independently with minimal oversight as well as lead project initiatives, mentor and assign work to others as needed. This role requires strong understanding and experience in Applied Statistics for Data Science as well as expertise in data wrangling, building, deploying and maintaining predictive models. You will be responsible to ensure the rest of the team and stakeholders engage in best practices to ensure statistically sound deliverables. You will document best practices as well as lead peer reviews of Data Science work. You will deliver improvements to existing models as well as lead ongoing complex initiatives for revenue optimization, customer segmentation, media-mix optimization, and churn analysis.