Bayesian Modeling Jobs in Queens, NY (NOW HIRING)

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data ...

... e.g., bayesian pooling, hierarchical modeling) * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders * Demonstrated ...

You will move beyond simple predictive models to build transformative algorithmic solutions using Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN). The problem ...

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data ...

Responsibilities : • contribute to our research on interpretability, generalization and general understanding of foundation models • work in close collaboration with the Adaptive Bayesian ...

Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling). * Comfort operating with limited data - capable of building and validating proxy-based models. * Blend of ...

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...

Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...

Strong foundation in modeling techniques (e.g., differential equations, agent-based modeling, network models, Bayesian approaches) for simulating ecological processes or population dynamics.

Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...

Expertise in IRT, psychometrics, Bayesian inference are required, and additional expertise in cognitive diagnostic models and causal inference is preferred but optional. The postdoc will have the ...

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...

... existing models of event predictions; - New feature engineering for multiple machine learning ... Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 ...

You love building mathematical and probabilistic models, computer science algorithms, and you have ... Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian ...

Develop reusable data models, metrics, and entity mapping (e.g., company/product/provider mapping ... Apply statistics and econometrics (e.g., regressions, Bayesian methods, hypothesis testing, causal ...

... modeling, including regression, econometrics, Bayesian methods, and marketing metrics. - Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and ...

You love building mathematical and probabilistic models, computer science algorithms, and you have ... Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian ...

... modeling, including regression, econometrics, Bayesian methods, and marketing metrics. - Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and ...