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aws sql python gcp machine learning📋 Description
- Lead the data science practice end-to-end, including hiring and development.
- Advise clients on capabilities; shape offerings and ways of working.
- Deliver ML for marketing/CRM; partner with activation and insights teams.
- Foster knowledge sharing, quality, and scalable data science as the team grows.
- Manage, mentor, and develop a team of data scientists.
🎯 Requirements
- 5-8 years hands-on data science with client advisory.
- ML expertise: uplift modelling, propensity scoring, attribution, next-best action.
- Python and advanced SQL proficiency.
- CRM/marketing platform experience with Adobe AEP, Salesforce Data Cloud, Braze.
- Cloud platforms: GCP, AWS, Azure.
- Strong client-facing advisory and communication.
🎁 Benefits
- Hybrid work arrangement in Madrid.
- Global, diverse, tech-forward team.
- Opportunity to shape a growing data practice.
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