Probabilistic Modeling Jobs in Boston, MA (NOW HIRING)

Familiarity with probabilistic methods and basic risk modeling concepts * Experience with numerical modeling or simulation (e.g., structural analysis, fragility/vulnerability modeling) * Proficiency ...

Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters. * Experience with Bayesian modeling and inference techniques ...

Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters. * Experience with machine learning techniques (such as Bayesian ...

Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters. * Experience with machine learning techniques (such as Bayesian ...

The position is supported by a NASA-funded project focused on probabilistic downscaling of global weather models using satellite remote sensing, generative AI models, and conformal prediction. The ...

Experience validating numerical or probabilistic models in engineering, science, catastrophe modeling, finance, or actuarial science. * Programming skills including numerical, scientific, and ...

Develop probabilistic and causal models to inform prioritization and intervention strategies * Recommendation & Prioritization Analytics: Guide recommendation logic rooted in statistics, behavioral ...

Develop probabilistic and causal models to inform prioritization and intervention strategies * Recommendation & Prioritization Analytics: Guide recommendation logic rooted in statistics, behavioral ...

Experience in performance-based design, probabilistic and stochastic risk modeling, and reliability analysis applied to structural engineering * Experience in numerical modeling and scientific ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Experience in performance-based design, probabilistic and stochastic risk modeling, and reliability analysis applied to structural engineering * Experience in numerical modeling and scientific ...

Experience in performance-based design, probabilistic and stochastic risk modeling, and reliability analysis applied to structural engineering * Experience in numerical modeling and scientific ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

... probabilistic output assessment, accuracy evaluation, and monitoring for production drift or model behavior changes over time. * Strong understanding of QA methodologies, test strategy development ...

... probabilistic output assessment, accuracy evaluation, and monitoring for production drift or model behavior changes over time. • Strong understanding of QA methodologies, test strategy development ...

... probabilistic output assessment, accuracy evaluation, and monitoring for production drift or model behavior changes over time. * Strong understanding of QA methodologies, test strategy development ...

... probabilistic output assessment, accuracy evaluation, and monitoring for production drift or model behavior changes over time. * Strong understanding of QA methodologies, test strategy development ...

... learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling. • Experience with experimental research methods (DOE, RCT, Quasi ...