Data Scientist - Applied AI (Go-To-Market)
Tasks
- Analyze data to define scope and impact
- Build pricing and monetization models
- Collaborate with engineering and business stakeholders
- Deploy and maintain production ready ML AI models
- Develop AI ML models for go to market efficiency
- Identify pricing optimization opportunities
- Translate business requirements into data science deliverables
Perks/Benefits
- Employee discounts
- Flexible working options
- Headspace access
- Health package
- Learning and development support
- Paid parental leave
- Paid volunteering days
- Pension
Skills/Tech-stack
Airflow | Attribution | Behavioral analytics | Churn modeling | Cloud Computing | Data Engineering | Data Pipelines | Ecommerce analytics | Google BigQuery | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Pricing Optimization | Python | Ranking Models | Recommendation Systems | SQL | Segmentation | Series analysis | Time Series | Time Series Analysis | Vertex AI
Education
N/A
Roles
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