Bayesian Modeling Jobs in Redmond, WA (NOW HIRING)

Develop novel probabilistic mathematical and simulation models representing complex ecological and ... Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.

Develop novel probabilistic mathematical and simulation models representing complex ecological and ... Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.

... bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk ... models. Throughout your journey, you'll have access to unparalleled resources, including ...

... graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows Amazon is an equal opportunity employer and does not ...

... models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows PREFERRED QUALIFICATIONS - Knowledge of R, MATLAB, Python or similar ...

This team builds the models and optimization systems that decide how we bid on online advertising ... Bayesian methods, and causal inference * Command of the ML development lifecycle and MLOps: CI/CD ...

Expertise in building Bayesian elasticity models and causal inference * Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for ...

This team builds the models and optimization systems that decide how we bid on online advertising ... Bayesian methods, and causal inference * Command of the ML development lifecycle and MLOps: CI/CD ...

... models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows - Experience with any programming language such as Python, Java, C ...

... Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces. - You will develop GenAI-powered narrative generation ...

Expertise in building Bayesian elasticity models and causal inference * Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for ...

Expertise in building Bayesian elasticity models and causal inference * Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for ...

Python) - Experience with statistical models (e.g., logistic regression. supervised learning ... Experience establishing Bayesian decision frameworks for business decisions - Excellent ...

Expertise in building Bayesian elasticity models and causal inference * Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for ...

... models, benchmarks, and services. Graduate education or hands-on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific ...

Advanced statistics - deep command of inference, uncertainty quantification, and both Bayesian and frequentist approaches. * Strong ML expertise - end-to-end modeling, robust validation, and ...

... action models, sim-to-real transfer, agentic orchestration). You will design autonomous ... Bayesian optimization, or RL to drive iterative materials discovery. - Drive technical design ...

... modeling tools (e.g. R, Python, SAS, SPSS) • Effectively communicates a summary of customer ... Bayesian statistics, and can apply them to analysis design with supervision • Demonstrated ...

Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...

Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...