Case Studies
Recommender Engine Design
Mosaic designed & deployed a custom recommendation engine for a social media app.
Many customers and prospects have told us they have projects they’d like to start immediately, but they are short-staffed, or their data scientists lack the relevant ML expertise to undertake a new initiative. In response to this market demand, Mosaic offers a staff augmentation model to meet our clients’ machine learning & analytics needs. Mosaic can rent your company a data scientist (or two) with the optimal skillset for your project at a competitive hourly rate, on a part-time or full-time basis, for as long as your project requires.
Mosaic designed & deployed a custom recommendation engine for a social media app.
Data scientists are a scarce commodity, and are likely to remain so for years to come. At the same time, data science can create a substantial competitive advantage for early adopters who make the best use of their scarce data-science resources.
This white paper examines a machine learning approach to predicting employee churn and optimizing for retention.