Bayesian Modeling Jobs in Illinois (NOW HIRING)

Bayesian modeling and hypothesis testing * Linear regression * Principal Component Analysis (PCA) * Tree-based models * Time series modeling (e.g., GARCH) What They're Looking For * Highly analytical ...

... Bayesian / Media Mix Modeling (MMM) experience. • Experience with time-series modeling and/or forecasting methods. • Expertise with linear algebra and advanced statistical modeling. Preferred ...

Bayesian /Media Mix Modeling (MMM) experience. * Experience with time-series modeling and/or forecasting methods. * Expertise withlinear algebra and advanced statistical modeling. Preferred Technical ...

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

... with Bayesian methods, graph/network analytics, reinforcement learning, or other advanced AI ... network-based modeling of infrastructure or industrial systems. • Familiarity with high ...

Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs. * Familiarity with healthcare data standards (e.g ...

The appointee will be expected to lead core model development and as needed, help expand ... Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other ...

The appointee will be expected to lead core model development and as needed, help expand ... Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other ...

Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs. * Familiarity with healthcare data standards (e.g ...

Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs. * Familiarity with healthcare data standards (e.g ...

We combine sequence-based models and variational autoencoders (VAEs) with Bayesian optimization, using experimental data to rapidly design and refine proteins into impactful therapeutics. The Applied ...

Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...

Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...

Familiarity or interest in data analytics and/or statistical concepts such as marketing mix modeling, multi-touch attribution modeling, multivariate regression, time-series modeling, Bayesian ...

Familiarity or interest in data analytics and/or statistical concepts such as marketing mix modeling, multi-touch attribution modeling, multivariate regression, time-series modeling, Bayesian ...

... Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response ...

Must have experience with Bayesian filtering/Hidden Markov Models is desirable. * Intra-day credit curve modeling is a plus. Benefits and Perks * Fully paid Medical, Dental, Vision, Disability, and ...

Prototype and iterate on machine learning models, focusing on areas such as regression, causal ... Regression (with and without Bayesian priors) * Vector embeddings, similarity, clustering * Core ...

... Bayesian Estimation Framework, or Causal Inference Techniques; • Designing and developing preliminary analytic model prototyping through use of statistical packages such as SAS, SPSS, Minitab, BI ...

Must have experience with Bayesian filtering/Hidden Markov Models is desirable. * Intra-day credit curve modeling is a plus. Benefits and Perks * Fully paid Medical, Dental, Vision, Disability, and ...