Data Science Infrastructure Specialist
5 days ago
We are a pioneering technology company focused on developing innovative solutions for unmet medical challenges. Our mission is to create a direct data interface with the brain, revolutionizing the field of brain-computer interfaces (BCIs).
The Role
As a Data Science Infrastructure Specialist at Paradromics, you will play a crucial role in developing and maintaining systems that automate and accelerate engineering and data science efforts across our research and development team.
Key Responsibilities:
- Design, implement, and maintain automated testing and deployment scripts using tools like GitHub Actions, Ansible, etc.
- Create and manage infrastructure for data science-based applications, including data pipelines, workflows, and data storage solutions.
- Evaluate and ensure the scalability, reliability, and performance of our applications in hybrid on-prem/cloud environments, utilizing tools such as Kubernetes and Docker.
- Analyze and troubleshoot issues with our CI/CD and data pipeline infrastructure using tools like Prometheus, Grafana, etc.
- Contribute to code reviews and participate in the development of new features and tools for our data science infrastructure.
- Collaborate closely with engineering, neuroscience, and quality teams to identify and capture needs and requirements.
Requirements:
- Bachelor's degree in Computer Science, Computer Engineering, or a related field; or equivalent through real-world experience.
- 4+ years of professional experience relevant to this role.
Preferred Qualifications:
- DevOps/Site Reliability experience with some familiarity using/managing data science and data pipeline-related platforms.
- Experience working on projects involving quality management systems, such as medical device development.
Compensation
The estimated salary for this position is between $120,000 and $190,000 per year, depending on location and experience.
Paradromics Values
We are an Equal Opportunity Employer and value diversity, equity, and inclusion in our workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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