Senior Data Science Engineer – Remote

MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™, is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.

At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish.

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

• 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.
• 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.
• Develop and maintain authoritative understanding of how, why, and to what extent MindBridge's core models and ensembles can be configured.
• Map a customer's stated business value requirement onto the specific configuration options actually available.
• Evaluate customer requests to add, modify, or reconfigure a control point or ensemble, and determine whether it is feasible with existing product capability and the customer's available data.
• Define the specific data requirements needed to support a proposed configuration.
• Recommend the configuration approach that best fits the customer's control objective within supported product capability.
• Translate model and ensemble behavior into language finance, audit, and compliance stakeholders can act on.
• Support customers who need to justify or defend MindBridge's outputs to their own internal or external stakeholders.
• Determine whether the cause of underperformance is data quality, configuration, or a genuine product limitation, and recommend the correct fix.
• Distinguish clearly between a configuration question and a request that requires new product capability.
• Convert recurring model and configuration questions into FAQs, decision guides, and training material for Success Engineers.
• Act as an internal subject-matter-expert resource for Solutions Architects and Data Engineers.

Required Qualifications

• 5+ years of applied experience in data science, analytics engineering, or a closely related technical discipline.
• Working knowledge of statistical and machine learning techniques used in anomaly and risk detection.
• Strong SQL, Python and data literacy.
• Demonstrated ability to translate technical model behavior into terms a non-technical stakeholder can act on.
• Direct experience working with enterprise customers on technical questions.
• Comfortable operating inside a defined product boundary.

Preferred Qualifications

• Experience in audit, internal controls, financial risk, or fraud analytics.
• Familiarity with explainability and interpretability expectations in regulated environments.
• Experience producing enablement content for internal technical teams.
• Prior experience in a dedicated post-implementation optimization function.

Requirements contingent on employment

Fulfill requirements necessary to obtain full background check.

Pay Range

The expected base salary range for this position is $130,000 to $155,000 and may be eligible for bonus awards.

Why You’ll Love Being Part of Our Team:

• Competitive Compensation and Equity
• Flexible Work – Hybrid or Remote
• Comprehensive health benefits and wellness programs
• Professional development opportunities
• Flexible Time Off
• Company Matched Retirement Plans
• Unplug and recharge - 4 company-wide digital detox days annually

Equal Opportunity at MindBridge

At the heart of our global success lies commitment to diversity and inclusion. We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks.