Applied AI/ML & Causal Inference - Senior Associate
Jersey City, NJ, United States
USD 177K-215K (estimate) Senior-level Full Time
Tasks
- Build and deploy causal models
- Collaborate with engineering and compliance
- Design ML and causal inference solutions
- Drive MLOps and productionization
- Evaluate model quality and assumptions
- Frame causal problems
- Monitor models in production
- Perform sensitivity analysis
- Translate research to production solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | B testing | Causal Inference | CausalML | Difference-in-differences | DoWhy | Double Machine Learning | Doubly Robust | Doubly-robust estimation | EconML | Experiment design | Fine Tuning | Heterogeneous treatment effects | Hive | Instrumental Variables | Language Models | Large Language Models | MLOps | Machine Learning | Observational Study | Potential Outcomes | Prompt engineering | Propensity score | PyTorch | Python | Quasi Experiment | RAG | Regression discontinuity | Robust Estimation | SQL | Scikit-learn | Spark | Synthetic controls | Tool Using | Tool-using agents | Uplift Modeling
Education
Regions
Countries
States
Cities
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