Nearly 15 percent of employed data scientists spend between five and ten percent of their workweek looking for another job. The community as a whole reports these factors as contributing to an overall disaffection with their work and the companies they work for:
Company doesn’t really know what it wants from data science and machine learning (ML).
Infrastructure to support data science integration is not in place, or not sufficient.
They become a catch-all resource for all-things-data, or even IT, and don’t have time to develop machine learning.
They’re isolated from other functional areas, and struggle to make an impact.
From our perspective, all these factors signal the absence of a clear strategic plan for Enterprise AI and machine learning. Even if one exists, it’s not being communicated to the people inside an organization who are responsible for staffing and supporting data science initiatives.
milk+honey is committed to overcoming these obstacles to AI implementation. We’ve created a number of proprietary tools and processes that help organizations clarify business objectives, and identify, attract, train and retain the individuals they need to successfully execute against an Enterprise AI integration plan.
Skills Matrix for data science candidates
Machine Learning Project Staffing template for clients
Data Science Network
Contact Annie to explore how our workforce services can support your business goals.