Senior Manager - Data Science (Martech/CRM)
EUR 50K-64K (estimate) Senior-level Full Time
Tasks
- Advise clients on CRM and marketing measurement
- Apply causal inference methods
- Apply prompt and context engineering
- Build recommender systems
- Build training and inference pipelines
- Collaborate with data engineers and architects
- Conduct segmentation analysis
- Create next best action models
- Create roadmaps and maturity frameworks
- Deliver data science insights to clients
- Design experimentation frameworks
- Design production grade AI agents
- Develop and deploy machine learning models
- Develop attribution models
- Ensure statistical rigor and reproducibility
- Establish practice guidelines and ways of working
- Implement propensity scoring
- Lead adoption of Agentic AI
- Lead hypothesis and experimentation
- Maintain backlog of data science use cases
- Manage data science team end to end
- Perform uplift modeling
- Validate and activate models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adobe Experience | Adobe Experience Platform | Agentic AI | Attribution Modeling | Azure | Braze | CCPA | CRM | Causal Inference | Classification | Clustering | Data Governance | Data Modeling | Data cloud | ELT | ETL | Experience Platform | Experimentation | GCP | GDPR | Hypothesis Testing | Machine Learning | Marketing Technology | Next Best Action | NoSQL | Pipeline Design | Prompt engineering | Propensity scoring | Python | Recommender Systems | Regression | SQL | Salesforce Data Cloud | Salesforce data | Segmentation | Statistical Analysis | Uplift Modeling
Education
N/A
Roles
Data Science | Data Science Manager | Data Scientist | Lead | Lead Data | Lead Data Scientist | Manager | Scientist
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