Bayesian Modeling Jobs (NOW HIRING)

Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis ... Experience with developing and applying advanced statistical/machine learning models and algorithms ...

Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications.

Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. * Optimization, sampling, amortized ...

Data Transformation (dbt) Semantic Layers (Cube, Looker, dbt Metrics) TypeScript Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC ...

Apply advanced statistical and machine learning methods-including time series analysis, Bayesian techniques, tree-based models, clustering, deep learning, NLP, and Generative AI-to solve complex ...

Recurrence Quantification Analysis (RQA), Detrended Fluctuation Analysis (DFA), Sample Entropy, Lyapunov Exponent estimation, Symbolic Regression, fractal analysis, and Bayesian multilevel modeling.

Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...

Strong programming skills in R or Python; familiarity with Bayesian modeling, causal inference, or deep learning is a plus * Excellent communication skills and enthusiasm for collaborative ...

Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...

Apply advanced statistical and machine learning methods-including time series analysis, Bayesian techniques, tree-based models, clustering, deep learning, NLP, and Generative AI-to solve complex ...

Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling-in non-stationary, adversarial environments.

Recurrence Quantification Analysis (RQA), Detrended Fluctuation Analysis (DFA), Sample Entropy, Lyapunov Exponent estimation, Symbolic Regression, fractal analysis, and Bayesian multilevel modeling.

Experience with machine learning techniques (such as Bayesian modeling and inference techniques) for decision making under uncertainty. * Experience with the Bazel build framework

Strong programming skills in R or Python; familiarity with Bayesian modeling, causal inference, or deep learning is a plus * Excellent communication skills and enthusiasm for collaborative ...

Build and maintain statistical, Bayesian, and machine learning models for use cases including lead scoring, customer retention, demand forecasting, and segmentation. * Apply Bayesian and ...

Deep learning (Tensorflow, Theano, etc), Bayesian modeling (STAN, Jags), Spark * Intimate knowledge of designing and integrating with REST or GraphQL APIs * Demonstrable experience and knowledge of ...

This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do.

Understand Bayesian modeling techniques. * Are capable of analyzing data and making rigorous statements about what can or cannot be concluded. * Have experience designing and implementing model ...

This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do.

This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do.