Plato is building the digital backbone of the global trade economy. Starting with the $48T wholesale industry, we empower the modern wholesaler to connect their people and data in a single analytics and workflow hub. By leveraging data science and AI, we automate workflows and combat labor shortages, making SMB wholesalers competitive with large corporations.
The future of wholesale is data-driven. Unlike popular opinion, Industrial SMEs are ready to make the step to become more proactive in their processes but lack the technology to steer them to success. Our founders come from a wholesale family and gathered a rock star team of ex-Big Tech, VC, and top-tier consulting companies to reshape the operations of this $48tn industry. Our initial product leverages cutting-edge data science to provide customized demand forecasts and product recommendations combined with intelligent workflow automation.
We are about to create category-defining software. Our primary customers are C-suite executives within large-scale wholesale and distribution businesses. We are committed to helping them enhance their decision-making processes and optimize their operations through the smart use of their data - bringing their operations into the 21st century! But don’t just hear it from us! We are supported by a list of top-tier EU & US VCs, advisors, and angels providing insights from some of the best SME tech companies such as Miro, Celonis, Personio, Workday, Forto, and Microsoft.
As a Data Scientist at Plato you will be tackling the complex challenge of building versatile models that serve multiple industries, ranging from construction and steel to technical and HVAC wholesalers. Each industry presents unique data sets and requires a tailored approach.
You will have the opportunity to develop a variety of models, such as recommendation engines, dynamic pricing systems, churn prediction models, and customer segmentation algorithms. You will be responsible for the entire lifecycle of these models, from creation to deployment, and ensuring they scale across different industries.
Our platform generates a wealth of data from user interactions, and a key part of your role will be feeding this data back into the models to continuously improve their performance. You’ll collaborate closely with our data engineering and product teams to ensure our portfolio of data products provide value to our users.