Data Science Engineer

Summary: The Data Science Engineer develops computational and data-driven methods for research in algebraic geometry and scientific computing. Responsibilities include designing algorithms, symbolic computation systems, and machine learning pipelines.

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.

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#### 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.

#### Basic Qualifications

• Bachelor Degree 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

• Master Degree in Computer Science, Statistics or Mathematics.
• Strong programming skills in Python, R, SQL and PyTorch.
• Background in algebraic geometry, computational algebra and symbolic computation.
• Experience with algorithm development and research.
• 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

• Curriculum Vitae (CV).
• Cover Letter.