Data science is central to MindBridge's product, involving diverse projects such as writing algorithms that scale to billions of data points and configuring the platform for customer use cases.
The company specializes in data science for highly regulated markets, focusing on delivering explainable and interpretable models for financial analysis.
MindBridge is committed to responsible AI development, as signatories of the Montreal declaration, aiming to make AI technology accessible to finance professionals.
The Senior Data Scientist will collaborate with the development team to integrate data science into the core product and ensure high-quality project delivery that meets client requirements.
The role requires a positive attitude, high energy, and a focus on execution, continuous improvement, and accountability.
The ideal candidate will have a growth mindset and be eager to learn and adapt.
Requirements:
Candidates must have a PhD in a quantitative discipline such as Engineering, Physics, Mathematics, Statistics/Biostatistics, Machine Learning, Computer Science, or a relevant combination of education and experience.
A minimum of 5 years of experience in using statistical analysis and machine learning models to derive actionable insights and recommendations from data is required.
Technical leadership skills are essential, with the ability to coordinate a data science project throughout its full life cycle.
Candidates must fulfill requirements necessary to obtain and clear a full background check.
Benefits:
The position offers competitive compensation and equity options.
Employees can enjoy flexible work arrangements, including hybrid or remote work options.
Comprehensive health benefits and wellness programs are provided.
There are opportunities for professional development and growth.
The company offers flexible time off to support work-life balance.
Employees benefit from company-matched retirement plans.
MindBridge provides four company-wide digital detox days annually to encourage employees to unplug and recharge.