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Data Science Manager
Ipsos North America. Manage data professionals in close collaboration with the Service Line lead .
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Manage data professionals in close collaboration with the Service Line lead
- Develop and maintain production-quality data science systems
- Manipulate complex data from different sources using R, Python, SQL, and Google Cloud Platform
- Perform complex statistical analyses and prediction models for media research
- Support researchers on the team
- Check results before delivery to the research team
- Clearly visualize and communicate results to internal and external customers
- Contribute to renewing and improving existing structures and processes
- Support diverse media projects involving passive electronic measurement, TV, print, behavior, and ad-hoc media studies
Requirements
What you’ll need- Academic working and thinking level
- Good command of English
- Management skills
- Programming background and experience in Python and R
- Experience in git with collaborative development of data science workflows / products
- Statistical background and affinity with regression, segmentation, and data fusion
- Experience in media research
- Skilled in learning software packages
- Experience working in the cloud, especially GCP
- Experience working with automated production systems
- Able to convey complex problems with simple words
- Great communication skills
- Proactive, detail-oriented, flexible, and able to handle deadlines
- Team-oriented, pragmatic, precise, and creative
Benefits
Comp & perks- An international organization with many opportunities for personal growth and development
- A close-knit and diverse data team
- A working environment with room for personal input and fresh ideas
- A dynamic, open and informal working environment
- Collaboration with experienced and curious colleagues
- An introduction program
- Regular drinks and inspiration sessions
- A laptop
- Flexibility to work from home every now and then