Intuit formed its first Data Sciences group in 2008. From inception until 2012, Intuit’s data scientists operated from a central organization and leveraged their unique expertise like “consultants” assigned to a specific project and “client” from the business unit. In October, 2012, Intuit began piloting an “embedding” strategy that places a data scientist deep within a business unit product team to use their expertise as part of the team rather than just “consulting” on a project. Since then, the embedding program has grown and currently 6 data scientists/analysts from the central organization have joined product teams across the company. Success has been mixed and in this talk we will describe the pros and cons of the two ways of deploying data scientists within the organization, as well as the key ingredients we found are necessary for great outcomes.