ZipRecruiter
Data Scientist
ZipRecruiter, Santa Clara, California, us, 95053
Job Description
Duties:
We are looking for a highly motivated Principal Software Engineer to help us build cutting edge analysis, visualization and compute pipelines for analyzing sequencer data. The job requires advanced python expertise and data science skills, in addition to solid computer science skills. You will be involved in architecting, developing and optimizing the data analysis algorithms, pipelines, and visualization.
Responsibilities:
Analyze existing software and develop requirements, prototype and execute new architectures, software algorithms, and design improvements.
Collaborate with scientists and other engineering groups to understand their software requirements and propose solutions, leading them to completion.
Write clean, maintainable, documented code using best engineering practices in the industry (design patterns, TDD, peer review, CI, automated testing, etc.). Prepare documentation and participate in design reviews.
Guide contractors and vendors for development and ensure the quality of deliverables.
Provide technical leadership in software development and mentor junior developers.
Monitor work to ensure quality and continuously promote Quality First Time.
Provide technical direction and feedback to others.
Skills:
Highly conversant with numpy, pandas, matplotlib, and other similar data analysis and visualization libraries.
Deep experience with distributing and cloud computing in the scientific domain.
Good knowledge of deep learning and experience working with tensorflow.
Development Essentials: JIRA, Git, Jenkins, Docker, python package management.
Collaborative Traits: Good communication skills, team player, ability to work under tight deadlines, good mentoring.
Engineering Traits: Attention to detail, problem solving, debugging, optimization, and analytical skills.
Education:
Minimum Qualification: Bachelor's degree in Computer Science or Engineering or related technical discipline with 8 years of experience in developing scientific applications in Python, C, or C++.
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