Senior Data Science Engineer

Role Overview

We are looking for a Senior Data Science Engineer to provide applied data science expertise within our Success Engineering team, helping customers maximize the value of MindBridge’s control points and ensembles. You will configure and tune existing models, assess their application to customer data, investigate model behaviour and results, and translate complex findings into practical solutions. Working primarily post-launch, you will partner closely with Success Engineering, Product, Engineering, and AI/ML teams to solve complex customer needs within MindBridge’s existing capabilities.

What You Will Do

Applied model & ensemble expertise

Maintain deep working knowledge of MindBridge's core detection methodologies: scoring logic, risk indicators, and how ensembles combine individual control points into a single output. Serve as the go-to technical resource within Success Engineering for questions about how a model or ensemble actually works.

Engineering & AI/ML liaison

Maintain an active, ongoing working relationship with Product, Engineering, and AI/ML teams to stay current on model changes, known limitations, and upcoming capability shifts. Use that relationship to bring well-informed, technically grounded context back to Product/Engineering when a configurability gap is identified, a clear technical brief on what was requested, why it isn't currently supported, and what the customer's underlying value requirement needs, not just an administrative…