[Hiring] Senior Data Science Engineer @MindBridge Analytics

Role Description

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.
• Configurability boundaries & value mapping:
  • 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.
• Post-launch feasibility & configuration advisory:
  • Evaluate customer requests to add, modify, or reconfigure a control point or ensemble.
  • Define the specific data requirements needed to support a proposed configuration.
  • Recommend the configuration approach that best fits the customer's control objective.
• Explainability & customer communication:
  • 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.
• Root-cause diagnostics:
  • Determine whether the cause of underperformance is data quality, configuration, or a genuine product limitation.
  • Recommend the correct fix.
• Escalation & product boundary stewardship:
  • Distinguish clearly between a configuration question and a request that requires new product capability.
  • Document and escalate product gaps instead of building bespoke workarounds.
• Enablement & knowledge capture:
  • Convert recurring model and configuration questions into FAQs, decision guides, and training material for Success Engineers.
• Bounded support to Delivery Services:
  • Act as an internal subject-matter-expert resource for Solutions Architects and Data Engineers.

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.
• Credible enough with model internals and engineering constraints to partner directly with Engineering and AI/ML teams.
• 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 or audit-facing environments.
• Experience producing enablement content for internal technical teams.
• Prior experience in a dedicated post-implementation optimization function.
• Background in ML engineering, applied statistics, or a related technical field.

Requirements

• 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.

Benefits

• 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
• 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.

MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors.

We are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us.