Technical > Software Engineer (with a focus on mathematical algorithms)
Salary National Average
| Low | Medium | High |
|---|---|---|
| 106290.0000 | 119840.0000 | 138050.0000 |
Supply and Demand
Candidate Supply: 132,212 Job Openings: 14,587
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Short Description:
A Software Engineer with a focus on mathematical algorithms is a specialized professional who combines mathematical expertise with software development skills to create and optimize algorithms for various applications. They work on complex problem-solving, numerical computations, and data analysis, contributing to a wide range of industries, including finance, artificial intelligence, and scientific research.
Duties / Responsibilities:
- Design and implement mathematical algorithms to solve complex problems in areas like data analysis, optimization, or simulation.
- Collaborate with domain experts and stakeholders to define requirements and objectives for algorithm development.
- Write and optimize code in languages like Python, C++, or Java to implement mathematical algorithms.
- Conduct performance analysis and testing to ensure algorithm efficiency and accuracy.
- Debug and troubleshoot algorithm issues and refine them based on feedback and real-world data.
- Stay updated with the latest advancements in mathematical algorithms, data structures, and computational methods.
- Document algorithm design, implementation, and usage for team members and end-users.
- Collaborate with software engineers to integrate algorithms into applications.
- Analyze and interpret algorithm results, providing insights and recommendations to non-technical stakeholders.
- Implement security and data privacy measures when working with sensitive data.
Skills / Requirements / Qualifications
- Education: Bachelor's, master's, or Ph.D. in computer science, mathematics, or a related field.
- Mathematics: Strong mathematical background, including knowledge of calculus, linear algebra, and discrete mathematics.
- Programming: Proficiency in programming languages and software development, particularly in algorithm design and optimization.
- Analytical: Problem-solving and analytical skills for designing and troubleshooting complex mathematical algorithms.
- Data Structures: Knowledge of data structures, numerical methods, and computational mathematics.
- Communication: Excellent communication skills for collaborating with cross-functional teams and explaining algorithm concepts to non-experts.
- Industry Knowledge: Familiarity with industry-specific algorithms and domain knowledge in areas where the algorithms will be applied.
- Data Analysis: Experience in algorithm development, data analysis, or a related role can be advantageous.
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