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Senior Data Scientist

MindBridge
Ottawa, Ontario, Canada
Full-time
Applications go directly to the hiring team

Full Description

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.

Overview

As a Senior Data Scientist at MindBridge, your day-to-day activities may vary. The ideal candidate will work well within a team and with our client to ensure the projects are delivered to the highest quality and meeting client requirements.

Above all we are looking for someone with a great attitude, high energy, and focused on execution, continuous improvement, and accountability. A data scientist with a growth mindset who is excited by opportunities to learn will be successful in this role.

What You Will Do

* Work closely with the development team to deliver data science into MindBridge’s core product.

* Deliver high-quality data science for strategic clients and capabilities.

* Support junior data scientists by providing feedback and act as a sounding board on projects.

* Develop and deliver new data science methods to support our key analytic goals.

* Deepen their own skillset by keeping up-to-date on the latest innovations in data science and artificial intelligence.

* Provide input and collaborate on the forward Data Science work programme.

What You Bring

* Have a MS/PhD in a quantitative discipline (Engineering, Physics, Mathematics, Statistics/Biostatistics, Machine Learning, Computer Science or similar) or an appropriate combination of education and experience.

* Have 5+ years' experience using statistical analysis and machine learning models to translate data into actionable insights and recommendations.

* Have technical leadership skills and are able to coordinate a data science project throughout its full life cycle.

Requirements Contingent on Employment

* Fulfill requirements necessary to obtain and clear a full background check.

Pay Range

The expected base salary range for this position is to $140,000 to $190,000 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

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. 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.

Applications go to the hiring team directly