Director, Data Science (Marketing Analytics)
London, United Kingdom
GBP 46K-50K (estimate) Executive-level Full Time
Tasks
- Build automated reporting and monitoring systems
- Build cross channel reach and frequency measurement frameworks
- Collaborate with client service teams to scope requirements
- Conduct performance reviews and career progression planning
- Design build and validate marketing mix models using econometric techniques
- Develop attribution models
- Develop predictive models for campaign and customer outcomes
- Develop proprietary effectiveness measurement frameworks
- Develop training programs for advanced analytics
- Establish analytical standards and quality assurance
- Establish team priorities and resource allocation
- Implement Bayesian modelling machine learning and causal inference
- Lead and mentor data science team
- Lead proof of concept projects in marketing analytics
- Oversee development of data models for marketing effectiveness
- Present insights recommendations and innovations to senior stakeholders
- Research and implement new marketing measurement approaches
- Serve as primary analytical consultant for stakeholders
- Translate analytical insights into business recommendations
Perks/Benefits
- Dental insurance
- Hybrid work schedule
- In-office events
- Medical insurance
- Mental Health Awareness Days
- Paid time off
- Partner discounts
- Retirement plans
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Attribution Modeling | Azure | B testing | Bayesian Modeling | Causal Inference | Cloud platform | Decision Trees | Econometrics | Experimental Design | Google Cloud | Google Cloud Platform | Incrementality testing | Machine Learning | Marketing Mix | Marketing Mix Modeling | Media optimization | Mix Modeling | Neural Networks | Panel data | Predictive Modeling | Pymc | Python | R | Regression | SQL | Scikit-learn | Series analysis | Stan | Time Series | Time Series Analysis
Education
N/A
Roles
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