Mathematics Specialist

Responsibilities:

Quantitative Problem Design:

● Develop and conceptualize original, engaging, and diverse mathematical and/or algorithmic problems.

● Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels, ensuring a structured and progressive learning path.

● Innovate and identify novel problem types, including those requiring a blend of number theory, combinatorial logic, optimization, and advanced data structures.

Solution Derivation & Elucidation:

● Rigorously solve formulated problems using sound mathematical principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.

● Craft clear, concise, and pedagogical mathematical solution hints and detailed explanations that guide users through complex reasoning.

● Precisely articulate the core mathematical concepts and prerequisite knowledge required for effective problem-solving.

Algorithmic Implementation & Optimization:

● Translate complex mathematical and algorithmic solutions into efficient, robust, and readable code, primarily using C, C++, Python, and Java. This involves choosing optimal data structures and algorithms to meet performance requirements.

● Thoroughly document the time and space complexity of implemented solutions, providing clear justifications and allowing for custom complexity labels where advanced analysis is required.

● Design and generate comprehensive and challenging test cases (including edge cases, performance tests, and randomized inputs) to rigorously validate the correctness, efficiency, and stability of the implemented solutions.

Quality Assurance & Collaboration:

● Actively participate in single-tier reviews, meticulously evaluating both the mathematical accuracy of problems and solutions, and the computational efficiency and correctness of code implementations.

● Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. Required

Qualifications:

● Phd or Master’s degree in Mathematics with experience of Competitive Programming.

● Proven expertise in mathematical problem-solving, especially number theory, combinatorics, and algorithmic mathematics.

● Strong proficiency in programming, primarily C++, Java, with additional experience in Python advantageous.

● Experience with computational complexity analysis (both time and space).

● Excellent analytical, logical thinking, and problem-solving skills.

Preferred Skills:

● Familiarity with Project Euler-style mathematical problems.

● Previous experience in academic teaching or content creation related to mathematics or programming.

● Strong written and verbal communication skills for clear documentation and collaboration.