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, and retraining existing production models. The team uses a combination of SQL, Python, and Java for their software development and ML projects. The OHIA ML Engineering team also is responsible
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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and provide programming support for ongoing research projects. In this role, you will assist with coding and data analysis using Python, R, and other software tools as needed. Responsibilities include
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network automation using Python and Ansible.
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. Knowledge of basic mathematical and statistical concepts and skill in using standard computer and scientific software, including data analysis or analytical tools such as R, Python, ArcGIS, or comparable
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interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python
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of California Student Working knowledge of SQL, python, R, excel, Tableau Ability to depict complex data in simple manner to lay audience to tell ‘actionable’ stories with data Strong critical thinking, data
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enhance a substantial codebase (Python) distributed across several code repositories. Implement new functionality based on evolving scientific and operational requirements. Produce high-quality
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) Familiarity with data security, compliance, and responsible AI principles. (Preferred) Knowledge of Programming Languages - C#, Python (Preferred) General knowledge of Apex, Visualforce, Lightning Components
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scripting or programming languages (e.g., Python, R, or similar) for data analysis and pipeline development. Demonstrated ability to lead or significantly contribute to research projects, with a record of