Bayesian Modeling Jobs in Pflugerville, TX (NOW HIRING)

Our platform combines economic modeling with specialized media experimentation so brands and ... Bayesian concepts * Hypotheses testing Education requirements Graduate degree in Applied ...

Our platform combines economic modeling with specialized media experimentation so brands and ... Bayesian concepts * Hypotheses testing Education requirements Graduate degree in Applied ...

Develop advanced reliability models such as Reliability Block Diagrams (RBDs), Markov Chains, and Bayesian analysis to quantify board-level risk and its contribution to overall system availability.

Develop advanced reliability models such as Reliability Block Diagrams (RBDs), Markov Chains, and Bayesian analysis to quantify board-level risk and its contribution to overall system availability.

Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures. * Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and ...

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. Experience with statistical methods such as Bayesian methods ...

Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures. Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and ...

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. Experience with statistical methods such as Bayesian methods ...

Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis ...

Familiarity with psychometrics, proficiency modeling, Bayesian methods, item response theory, or educational measurement. * Experience building AI platforms, knowledge graph solutions, or agentic ...

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. * Experience with statistical methods such as Bayesian ...

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

Create robust time-series forecasting models for revenue, demand, and operational metrics using techniques like ARIMA, Prophet, Bayesian methods, and hybrid approaches. * Partner with finance, sales ...

Create robust time-series forecasting models for revenue, demand, and operational metrics using techniques like ARIMA, Prophet, Bayesian methods, and hybrid approaches. * Partner with finance, sales ...

Background in Bayesian inference or probabilistic modeling. * Experience launching data products in coordination with Sales, Marketing, or Client Success. * Exposure to computer vision or NLP.

You are joining a highly AI Native team with high autonomy across data modeling, analysis, and ... Experience with A/B testing and causal inference, including both Bayesian and Frequentist ...

Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis ...