Senior Applied Mathematician / Researcher (Background in Probabilistic Modeling)

As a Senior Applied Mathematician / Researcher at Nomos, your key responsibilities will include developing and refining mathematical models for complex systems using probabilistic frameworks. You'll apply advanced probability and statistics to tackle real-world challenges concerning blockchain technologies, understand engineering requirements, and translate them into mathematical models. Moreover, you will lead applied research efforts, collaborating with cross-functional teams to translate theoretical ideas into practical, commercially viable solutions.

Nomos seeks a candidate with a strong background in applied mathematics, specifically in complex systems and stochastic processes. A proven track record in employing advanced mathematical tools to address real-world, large-scale issues is essential. Additionally, strong communication skills are required to convey complex ideas clearly. A PhD or MSc with significant research experience in Mathematics or a related field is ideal, accompanied by a keen interest in blockchain and cryptography.

While prior experience in blockchain is not strictly necessary for the Senior Applied Mathematician / Researcher role at Nomos, an interest or exposure to blockchain concepts and decentralized technologies is highly valued. Candidates who bring familiarity with cryptography or who have contributed to open-source projects in this area will have an advantage in the application process.

The hiring process for a Senior Applied Mathematician / Researcher at Nomos typically includes an initial interview with People Ops, followed by a technical interview with a team member and an additional team interview. Candidates will then participate in a final interview with a Nomos Lead. Please note that the stages may adapt based on the evolving needs of the process, so this outline serves as a guideline.

Compensation for the Senior Applied Mathematician / Researcher role at Nomos is negotiable and will depend on an assessment of your skills and experience throughout the interview process. We are flexible with payment options and are happy to offer compensation in any mix of fiat or cryptocurrency.

When answering this question, you should focus on specific projects or challenges where you successfully applied probabilistic modeling techniques. Discuss the methodologies used and the outcomes achieved, emphasizing how your approach contributed to solving complex real-world issues.

It’s important to convey your understanding of the collaboration process with engineering teams. Discuss how you gather requirements, test your models against practical scenarios, and iterate based on feedback to ensure models are both theoretically sound and practically applicable.

Highlight the specific mathematical tools and software you are proficient in, such as MATLAB, R, or Python libraries for statistical analysis. Explain your reasons for choosing these tools based on their effectiveness in addressing particular types of problems.

Emphasize your ability to simplify complex ideas. You could share examples of how you’ve previously explained models to non-experts, perhaps using visuals or analogies, and describe how you tailor your communication approach based on the audience’s background.

Share personal anecdotes or experiences that sparked your interest in blockchain. Discuss how the principles of decentralization, security, and privacy resonate with your professional and personal values, and why you are excited about future developments in this area.

Use the STAR (Situation, Task, Action, Result) method to structure your response. Talk about the challenge, your approach to overcoming it, and the positive outcome that resulted from your efforts.

Discuss current trends such as the growing importance of cryptography, improvements in scalability, or advancements in consensus algorithms. Make sure to provide insights on how these trends influence industry practices and mathematical model development.

Talk about the resources you engage with regularly, such as key journals, online courses, webinars, or professional networks. Emphasize your commitment to continuous learning and staying ahead in your field.

Discuss your leadership style, such as fostering collaboration and encouraging team input. Describe how you would outline objectives, assign tasks based on team member strengths, and ensure regular progress reviews to meet goals.

Discuss the importance of interdisciplinary collaboration in research. Share examples where teamwork has enhanced your projects, highlighting how diverse perspectives contribute to more robust and innovative outcomes.