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      Data Science Workflows Architect

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      Berkeley, CA 94704

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      • Programming background in languages including (any one of) C/C++, Python, Julia, Rust, Go, and shell scripting.
      • Prior experience managing computational needs and resources, either as a user or as an administrator.
      • Demonstrated ability to work effectively as part of a cross-disciplinary team.
      • Wide-ranging expertise in the areas of scientific computational workflows, workflow tools, and/or High-Performance Computing.
      • Ability to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
      • Ability to resolve complex issues in creative and effective ways.
      • Software engineering experience, including version control, testing, debugging, and CI/CD.
      • Ability to network and collaborate with key contacts outside one's own area of expertise.
      • At Level 4, typically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience.
      • Excellent communication and interpersonal skills, able to express yourself clearly in both written (e.g. conference papers, technical papers, documentation, email) and oral (e.g. via zoom and in person) communication.
      • Ability to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.
      • Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
      • Broad expertise and/or unique knowledge in the areas of complex scientific workflows, workflow tools, and/or High-Performance Computing.
      • At Level 3, typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience.
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