Director, Consumer Portfolio Growth Data Science
USD 218K-323K Executive-level Full Time
Tasks
- Analyze acquisition engagement retention drivers
- Build LLM and agent pipelines for data preparation training evaluation
- Build business cases using analytics and financial modeling
- Deploy and monitor LLM and agentic systems in production
- Develop machine learning models for causal inference and growth modeling
- Experiment with reinforcement learning and retrieval augmented generation
- Fine tune large language models for production use
- Implement agentic frameworks for multi agent interactions
- Lead data science team for consumer funnel growth
- Partner with commercial product marketing finance stakeholders
- Perform cause and effect analytics for monetization decisions
- Translate complex data into executive insights
- Use SQL and Excel to analyze large datasets
- Use prompt engineering and context optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Causal Inference | Excel | Financial Modeling | Fine Tuning | JAX | LLMOps | Language Models | Large Language Models | Looker | MLOps | Machine Learning | Online Adaptation | PowerPoint | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval systems | Retrieval-Augmented Generation | SQL | Statistical modeling | Tableau | TensorFlow | Transformer Architectures
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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