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 ...

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

You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product ...

You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product ...

You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product ...

Bayesian machine learning * Multi-task learning * Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including ...

... 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 ...

Bayesian machine learning * Multi-task learning * Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including ...

... 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 ...

... model quality sign-off in a cross-functional launch process Preferred Qualifications PhD in Computer Science, Data Science, Statistics, AI/ML, or a related field. Experience with Bayesian or causal ...

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 ...

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 ...

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 ...

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

... models are tested, monitored, and maintained post-launch Preferred Qualifications PhD in Computer Science, Data Science, Statistics, AI/ML, or a related field. Experience with Bayesian or causal ...

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