Practice Lead, US Commercialization Decision Intelligence & KDA Solutions
Tasks
- Advise commercial and finance leadership
- Architect scalable AI systems for autonomous insights
- Conduct technical reviews and raise standards
- Contribute to high priority modeling engagements
- Develop agentic AI solutions
- Develop training curricula and modeling playbooks
- Drive adoption of AI enabled decision systems
- Ensure AI governance explainability and monitoring
- Oversee enterprise investment optimization frameworks
- Provide technical leadership on MMx builds
- Standardize modeling methodologies and validation
- Train analytics team on MMx econometrics AI ML and optimization
- Translate modeling outputs into investment and strategy
Perks/Benefits
- N/A
Skills/Tech-stack
Adstock | Agent systems | Agentic AI | Apache Spark | BI tools | Bayesian | CCPA | CRM | Causal Inference | Curve Modeling | Data Privacy | Databricks | Distributed Lag | Explainable AI | GDPR | Geo-experiments | HIPAA | Hierarchical modeling | Human-in-the-loop | Incrementality | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Matched Markets | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multi-Touch Attribution | Multi-touch) | Next Best Action | Omnichannel analytics | PyTorch | Python | R | RAG | Response Curve Modeling | Risk Management | Scikit-learn | Security | Semantic layer | Snowflake | Synthetic controls | Task Orchestration | The Loop | Uplift Modeling | Veeva
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Practice Lead | Scientist
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