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Strong employer brand, metro location and mid-level generalist title increase applicant competition.
Role requires specialized data-science platform and GxP experience, reducing cross-industry transferability.
Multiple mandatory platform, cloud, IaC, scripting, and regulated-environment requirements make filtering strict.
Develop, configure, and customize multiple Commercial Off-The-Shelf Data Science platforms (Domino Data Lab, Dataiku, Posit, SAS) to meet customer needs, including platform upgrades and integrations.
Implement and automate cloud infrastructure deployment on AWS using IaC tools (Terraform, Ansible) and CI/CD pipelines, ensuring operational reliability and compliance.
Collaborate in a global agile team with Product Managers and Architects to deliver platform enhancements, maintain SDLC documentation, troubleshoot issues, and estimate sprint work.
Bachelor’s degree in Computer Science, Information Technology, or related field.
Minimum 3 years of hands-on experience in platform engineering and IT infrastructure projects.
Strong expertise with COTS Data Science platforms (Domino Data Lab, Dataiku, Posit, SAS) and AWS cloud services (EKS, storage, databases).
Proven experience with automation tools (Terraform, Ansible), CI/CD (Git, Bitbucket), programming in R and Python, and working in Agile environments with JIRA.
Technically proficient engineer comfortable with hands-on platform configuration and cloud infrastructure automation in regulated healthcare/pharma contexts.
Experienced in operating within multicultural global agile teams focused on delivering enterprise-grade, compliant data science platforms.
Capable of bridging technical delivery with compliance requirements and effective communication with cross-functional stakeholders including Product Managers and Architects.