Data Scientist - Applied AI (Go-To-Market)
Tasks
- Analyze pricing and monetization opportunities
- Build data preparation pipelines
- Collaborate with engineering for model productionization
- Create segmentation and churn models
- Deploy production-ready models
- Develop AI/ML models
- Develop NLP content generation models
- Implement ranking and recommendation systems
- Maintain machine learning models
- Perform data exploration and analysis
- Translate business requirements into data science deliverables
Perks/Benefits
- Cycle to work scheme
- Deals and discounts
- Employee assistance plan
- Flexible working options
- Headspace access
- Health cash plan
- Learning and development opportunities
- Life insurance
- Online GP
- Paid parental leave
- Paid time off
- Paid volunteering days
- Pension
- Season ticket loan
Skills/Tech-stack
Apache Airflow | Attribution Modeling | BigQuery | Churn modeling | Customer Segmentation | Data Exploration | Data Modeling | Data Pipelines | Data Preparation | Google Vertex | Google Vertex AI | LTV modeling | Language Processing | Machine Learning | Model Deployment | NLP | Natural Language | Natural Language Processing | Pricing Optimization | Python | Recommendation Systems | Revenue Management | SQL | Statistical Analysis | Upgrade | Upsell | Vertex AI
Education
N/A
Roles
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