Data Scientist

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.

We are looking for a staff scientist who can maintain and develop computing infrastructure in support of time domain astronomy. This will include large-scale databases of time series (>2 billion), transient alert brokering systems, federated data streams, and terascale machine learning inferencing, both real time and offline. The position is heavily associated with the Zwicky Transient Facility, but future projects will also involve a new IR survey telescope at Palomar (Winter), LSST, and other multimessenger astronomy projects.

Job Duties

• Monitoring performance of time domain infrastructure.
• Maintaining code repositories.
• Performing regular deployments.
• Regular database management including new data ingestion.
• Addressing user issues and implementing new feature requests.

Basic Qualifications

• PhD in CS or Astronomy or related fields
• Basic Understanding of Astronomy.
• 2+ years of professional python development.
• Familiarity with modern coding practices in Python, JS.

Preferred Qualifications

• Familiarity with Unix, Networking, Python, Containerization, Orchestration, Databases, CI/CD, Unit testing integration, cloud computing, modern JavaScript, Python Webframeworks and Machine/Deep Learning.

Required Documents

• Resume
• CV
• Cover Letter

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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.

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