Job description
NovaTech Analytics is seeking a Senior Applied Mathematician to join our research team in Cambridge, MA. The ideal candidate will apply mathematical theory to real-world data and complex engineering problems, bridging academia and industry.
In this role, you will collaborate with data scientists, software engineers, and domain experts to design, implement, and validate advanced mathematical models that inform product strategy and decision-making.
Responsibility
- Lead the development and refinement of mathematical models for complex systems across domains such as finance, engineering, and data analytics.
- Perform rigorous numerical analysis, simulation, and statistical inference to validate models against real-world data.
- Collaborate with cross-functional teams to translate theory into deployable algorithms and tools.
- Mentor junior researchers and contribute to internal model-building best practices.
- Publish findings in peer-reviewed venues and present at conferences.
- Contribute to grant proposals and seek funding opportunities where applicable.
- Create reusable software libraries in Python, MATLAB, and C++, with emphasis on performance and reproducibility.
Qualification
- PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field; or equivalent work experience with demonstrated research output.
- Strong background in numerical analysis, PDEs, optimization, probability, and statistical modeling.
- Proficiency in Python; MATLAB or R; and C++; experience with scientific computing libraries.
- Proven track record of research publications and presentations in relevant domains.
- Experience working in cross-functional teams and communicating complex ideas to non-specialists.
- Experience with high-performance computing, parallelization, and software development best practices.
- Ability to manage multiple projects, meet deadlines, and contribute to grant writing and proposals.