Staff Data Engineer at Headspace building privacy - first data platforms for mental health support. Leading data engineering strategies and mentoring team members to enhance data - driven decision making.
About the role
- Senior Data Engineer in Process R&D Enabling Technologies leading data product development for drug development. Collaborating across teams to modernize data engineering in a scientific environment.
Responsibilities
- Collaborate with a team of scientists and data professionals to identify, develop, and deploy data products designed to improve how process knowledge is gathered, analyzed, and applied.
- Work with IT to establish end-to-end, cloud-based data products and machine learning pipelines.
- Drive and accelerate drug development with partners in DSCS.
- Deliver robust cloud-based solutions that embed data-intense tools into organizational processes.
Requirements
- A B.S. in a scientific, engineering, or a closely related field plus 4 years of experience
- An M.S. in a scientific, engineering, or a closely related field plus 2 years of experience
- A Ph.D. in a scientific, engineering or closely related field
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- Background and experience in data science, data engineering, and machine learning/artificial intelligence
- Demonstrated scientific ability through publications and presentations in scientific conferences.
- Excellent communication skills, demonstrated creativity, and effective interpersonal skills.
- Ability to deliver complex solutions under compressed timelines in a dynamic environment.
- Ability to work in a team environment with cross-functional interactions.
Benefits
- medical, dental, vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays
- vacation
- compassionate and sick days
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