Algebraic Geometry, Algorithms, Best Practices, Cloud Computing, Computational Algebra, Computer Programming, Computer Science, Computer Systems, Data Analysis, Data Management, Data Processing, Data Science, Distributed Computing, Machine Learning, Mathematics, Production Systems, Python Programming/Scripting Language, R Programming Language, SQL (Structured Query Language), Software Engineering, Source Code/Configuration Management (SCM), Statistics, Testing, Workflow Analysis
Caltech is a world-renowned science and engineering institute that marshals some of the world''s brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary
The data science engineer will work closely with the PI and his research group to develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing. The successful candidate will contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning.
Essential Job Duties
- Develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing
- Contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning
- Perform other related duties as assigned
Basic Qualifications
- Background in Computer Science, Statistics, or Mathematics
- Strong programming skills in Python and R
- Background in algebraic geometry, computational algebra, and symbolic computation
- Experience with algorithm development and research
Preferred Qualifications
- Strong programming skills in SQL and PyTorch
- Familiarity with cloud computing, high-performance computing platforms and distributed computing environments
- Familiarity with containerization and orchestration technologies
- Experience building, deploying, and maintaining data pipelines, analytical workflows, and machine learning systems in production or research environments
- Experience with version control, testing, and software engineering best practices
Required Documents
C
California Institute of Technology