Job description
At NovaQuant Analytics, we fuse mathematics with real-world impact. We are seeking a Senior Applied Mathematician to lead research-driven projects in numerical analysis, optimization, and data-driven modeling. This full-time role is based in Cambridge, MA, offering a collaborative environment with top-tier researchers and industry partners.
As a key member of our research team, you will design and implement mathematical models, supervise numerical experiments, and translate complex theory into practical solutions for our clients and products. You will collaborate with data scientists, software engineers, and domain experts to deliver robust, scalable models that inform decision-making and strategy.
We value curiosity, rigor, and a track record of delivering high-quality research. If you are excited by solving large-scale problems, publishing impactful results, and mentoring growing talent, this role will be a fit.
Responsibility
- Lead the development and validation of mathematical models for complex systems, including optimization, numerical methods, and data-driven approaches.
- Design, implement, and analyze large-scale simulations and numerical experiments to test hypotheses and validate models.
- Collaborate with data scientists, software engineers, and domain experts to deploy models into products and decision-making tools.
- Mentor junior researchers, provide technical direction, and oversee code quality, testing, and documentation to ensure reproducibility.
- Publish research findings in peer-reviewed journals and present results at conferences, webinars, and internal forums.
- Contribute to grant proposals and client work by translating mathematical insights into actionable plans and deliverables.
- Stay current with advances in mathematics, statistics, and computing, and bring innovative methods to the team.
Qualification
- PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field; strong publication record preferred.
- Expertise in numerical analysis, optimization, and/or partial differential equations; experience with large-scale computation.
- Proficiency in Python and MATLAB; experience with R, C++, Julia, or similar languages is a plus.
- Strong mathematical intuition, problem-solving skills, and ability to translate theory into practical solutions.
- Experience with data-driven modeling, machine learning, or statistical inference is desirable.
- Excellent communication and collaboration skills; ability to explain complex concepts to non-technical stakeholders.
- Proven ability to work independently and lead projects with multiple stakeholders, delivering high-quality results on time.
- Commitment to rigorous scientific standards, reproducible research, and ethical computing practices.