Lead Data Scientist - Personalisation/CRM
Tasks
- Build ML ready tables
- Design data pipelines
- Develop predictive uplift and recommendation models
- Drive experiments and evaluate new ideas
- Measure incremental impact of ML and CRM
- Model customer behavior and churn
- Monitor model performance and data quality
- Operate production ML models
- Run A B tests end to end
- Translate model results for business teams
Perks/Benefits
- Development opportunities
- Flexible working
- Generous parental leave
- Paid sabbatical
- Paid social activities and events
- Pension scheme
- Relocation support
- Sports and wellbeing compensation
- Stock options
Skills/Tech-stack
A/B | A/B Testing | Amazon S3 | Amazon SageMaker | Apache Airflow | B testing | Bayesian Reasoning | Causal Inference | Churn modeling | Classification | DBT | Data Warehousing | Feature Engineering | Gradient boosting | Linear Models | Machine Learning | Neural Networks | Predictive Modeling | Propensity Modeling | Python | Recommendation Systems | SQL | Snowflake | Statistics | Trino | Uplift Modeling
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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