Job description
Join Axiom Analytics, a leading innovator in quantitative research, as a Mathematics Research Scientist in Cambridge, MA. You will model complex systems, develop advanced algorithms, and collaborate with cross-functional teams to translate theory into scalable solutions.
We seek a creative problem solver who thrives at the intersection of mathematics, data science, and engineering. This role offers the rare opportunity to publish impactful work and influence product strategy.
Responsibility
- Develop and validate mathematical models across domains such as probability, statistics, numerical analysis, and optimization.
- Design, implement, and optimize algorithms for large-scale data analysis and simulation.
- Collaborate with data scientists, software engineers, and product teams to translate theory into production-ready solutions.
- Plan and run numerical experiments, perform rigorous validation, and conduct error analysis.
- Mentor junior researchers and contribute to internal and external publications and conferences.
- Communicate complex mathematical concepts clearly to non-technical stakeholders and prepare technical proposals.
- Write clean, well-documented code in Python, Julia, MATLAB, and related tools; ensure reproducibility and performance.
Qualification
- PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field; or PhD near completion with strong publication record.
- 5+ years of research or industry experience in quantitative modeling and theory-driven problem solving.
- Proficiency in Python; experience with Julia or MATLAB; strong grounding in numerical methods and scientific computing.
- Experience with machine learning frameworks (e.g., scikit-learn, PyTorch) and data analysis workflows.
- Demonstrated publication record and ability to communicate complex math clearly in writing and presentations.
- Excellent collaboration and interpersonal communication skills; ability to work across cross-functional teams.
- Experience with high-performance computing or large-scale simulation is a plus.