Senior Data Scientist, Growth
Tasks
- Apply machine learning lifecycle including data preprocessing feature engineering
- Build machine learning models for value optimization
- Build predictive AI models for creative automation
- Collaborate with product engineering and marketing to identify automation opportunities
- Design A B testing for marketing experiments
- Design implement machine learning models for media optimization
- Develop build iterate machine learning models
- Integrate models into multi agent systems
- Operate machine learning models using MLOps experiment tracking observability
- Prototype machine learning solutions including generative AI
Perks/Benefits
- Career growth and development
- Discounted fitness membership
- Employee resource groups
- Generous vacation and PTO
- Health & dental benefits
- Health spending account
- Hybrid work flexibility
- Learning opportunities
- Parental leave top-up
- Team socials and company events
- Unlimited Headspace access
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Deep learning | Experiment tracking | Experimentation | GCP | GenAI | Huggingface | LLM Inference | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Marketing Analytics | Media optimization | Model Monitoring | Model Reliability | Natural Language | Natural Language Processing | Optimization Algorithms | Predictive Modeling | Programmatic Advertising | PySpark | Python | SQL | Statistical Analysis | System Observability | TensorFlow
Education
Roles
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