Job description
Join Crestline Analytics, a leading mathematics-focused research firm dedicated to advancing theory and real-world application. We are seeking a Mathematics Research Scientist to drive innovative projects across data modeling, optimization, and algorithm design. This is a hands-on role for a professional who thrives in cross-disciplinary teams and has a track record of impactful research.
Responsibility
- Develop and refine mathematical models for complex datasets, focusing on accuracy, interpretability, and scalability.
- Formulate and analyze algorithms; prove properties and run simulations to validate results.
- Collaborate with data scientists and software engineers to implement models in production environments.
- Design experiments and conduct rigorous statistical testing to ensure reproducibility and robustness.
- Communicate findings to non-technical stakeholders through clear reports and presentations.
- Mentor junior researchers and contribute to internal knowledge bases and documentation.
- Contribute to research strategy, grant proposals, and dissemination through papers and conferences.
Qualification
- PhD in Mathematics, Applied Mathematics, Statistics, or a related field; or a Masters with a strong research portfolio and publications.
- Strong expertise in mathematical modeling, numerical analysis, differential equations, and optimization.
- Proficiency in programming languages such as Python (NumPy/SciPy), MATLAB, and R; experience with Julia is a plus.
- Experience with data analysis, statistical inference, and basic machine learning concepts.
- Excellent communication skills and ability to explain complex concepts to non-specialists.
- Proven ability to work collaboratively on multi-disciplinary teams; strong problem-solving skills.
- Experience publishing research or presenting at conferences is preferred.