Related skills
sql python machine learning attribution propensity scoring📋 Description
- Lead the data science practice end-to-end; hire, onboard, coach.
- Build and scale the data science team for marketing CRM.
- Shape the offering, processes, and knowledge sharing culture.
- Deliver end-to-end data science work from hypothesis to activation.
- Advise clients on data science opportunities and impact in marketing.
- Partner with strategy and account teams on scoping and proposals.
🎯 Requirements
- 5-8 years hands-on data science with client advisory.
- Strong leadership and people management.
- Hands-on ML modeling: uplift, propensity scoring, attribution, next best action.
- Python and SQL proficiency; ML frameworks experience.
- CRM tech experience: Adobe AEP, Salesforce Data Cloud, Braze.
- Cloud (GCP/AWS/Azure) and data engineering familiarity.
🎁 Benefits
- Global, diverse team across MAP and VML network.
- Leadership growth and mentoring opportunities.
- Collaborative environment with data scientists, engineers, and consultants.
- Hybrid work arrangement in Málaga, Spain.
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