The Red Hat Global Sales Go-To-Market Strategy & Incentives team is looking for an experienced Senior Data Scientist to join our team. In this role you will apply your advanced analytic and data science skills to deliver insights that support go-to-market strategy development, which in turn positively impacts Red Hat’s revenue generating programs and projects. You will use data to drive growth, enable high quality and more precise business decisions. This is to enable high quality data to manage the Sales Cadence, and end-to-end Quota Process Transformation, including seller profile, sales roles & measurements module.You will leverage your mathematical and statistical expertise, along with your natural curiosity and creativity, to mine and interpret data to address questions, connect the dots and uncover hidden opportunities to realize the data’s full potential, slicing and dicing it to create new visions for the business. You must be bright and motivated with a balance of technical skills, business savvy, and strong interpersonal and communication skills to help build the next generation of data-driven action and decision making.

What you will do:

• Designs and develops enterprise-class, advanced analytics models to understand and solve complex GTM business problems such as segmentation, quota modeling, resource deployment model creation and Cost of Sales/Sales Productivity.

• Identifies relevant data sources and sets to mine for customer/business opportunities, collecting large structured and unstructured datasets and variables.

• Leads the design, execution and interpretation of data/analytic studies, including algorithm development, sample size calculations, statistical method selection, model development/tuning, etc.

• Transform & improve data quality for all dimensions of Sales management & planning. 

• Create data architecture aligned to the...