Senior Data Science Engineer (Canada, EST, Remote)

• 5+ years of applied experience in data science, analytics engineering, or a closely related technical discipline, ideally supporting enterprise software customers after implementation.
• Working knowledge of the statistical and machine learning techniques used in anomaly and risk detection — scoring models, ensemble/combination methods, outlier detection — sufficient to reason about why a model behaves as it does, not only what it outputs; building such models from scratch is not required.
• Strong SQL, Python and data literacy; able to independently investigate whether a data set can support a proposed control point or ensemble configuration.
• Demonstrated ability to translate technical model behavior into terms a non-technical, often finance, audit, or compliance stakeholder can act on.
• Direct experience working with enterprise customers on technical questions, in a support, technical account management, implementation, or applied customer-facing data science capacity.
• Credible enough with model internals and engineering constraints to partner directly with Engineering and AI/ML teams as a peer. This role sits between the customer-facing and product-technical sides, not solely on the customer-facing side.
• Comfortable operating inside a defined product boundary: recommending within existing capability and escalating clearly rather than building around gaps.

• 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 i.e. FAQs, playbooks, training materials, for internal technical teams.
• Prior experience in a dedicated post-implementation optimization function, as distinct from initial delivery.
• Background in ML engineering, applied statistics, or a related technical field with direct exposure to production model constraints; not solely academic or research modeling experience.
• Fulfill requirements necessary to obtain full background check.

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

The determination of an applicant’s base salary within this range is based on the individual’s location, skills, experience and competencies, and unique qualifications.

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

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.

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

At MindBridge, we are committed to providing an accessible candidate experience.

If you require accommodations during the interview process or beyond, please inform us.

We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality.

Your comfort and participation are paramount to us.

Please be advised that we may use AI tools in the processing of your application.