Data Scientist

Dyad is a health-tech startup focused on improving healthcare delivery and efficiency. They are seeking a Data Scientist to enhance analytical capabilities by pulling and analyzing data, creating dashboards and reports, and communicating findings to various stakeholders.

Responsibilities:

• Work with BetterLetter, AI Platform, QARA, and Commercial to pull data from production systems, customer environments, and internal tooling
• Clean, join, aggregate, and interrogate datasets with rigour in order to communicate findings to all stakeholders
• Flag where data is missing, unreliable, or not yet instrumented to support the question being asked, and recommend what to do about it
• Build and maintain dashboards for internal teams (product, commercial, leadership) and, where appropriate, customers
• Produce recurring reports (customer-facing metrics, operational KPIs, board packs and investor updates as that becomes necessary) that are accurate, legible, and consistent over time
• Run bespoke analyses to support sales, renewals, clinical conversations, and strategic decisions
• Present findings clearly to non-technical audiences, including senior leadership and customers
• Turn benchmark and evaluation outputs produced by the AI Platform team into documentation, reports, and visualisations that other teams can use
• Communicate technical evaluation metrics in understandable ways, and describe how evaluation results change over time in terms non-specialists can act on