The Data Cloud Acceleration team identifies gaps and opportunities across clients and business units, then moves quickly to deliver practical new capabilities. We often develop and deploy the first version of a model, workflow, dataset, or application in days or weeks, learn from real usage, and improve it iteratively.
We are business-minded technologists who care more about impact than technical novelty. We use sophisticated methods when the problem requires them and simpler approaches when they will deliver a better result faster. Our work should be predictable, demoable, trusted, reusable, measured, and amplified by AI.
The Senior Data Scientist will build models, analyses, and supporting ML components that improve business decisions, intelligence products, and client outcomes. You will independently own defined deliverables—from understanding the requirement and preparing the data through modeling, validation, documentation, and delivery.
This is a hands-on individual contributor role. You will work across varied revenue and intelligence initiatives, often in partnership with a Lead Data Scientist, application engineers, analysts, and business stakeholders. The right candidate can move quickly without sacrificing trustworthiness and knows how to balance statistical rigor with the practical needs of the business.