1 to 8 of 8 Bayesian Methods Jobs

at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency more »

are looking for: Experience developing MMM models, not just using off-the-shelf tools but developing the models themselves A strong background in Bayesian statistics Experience as a Mid-or-Senior level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or more »

or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest more »

process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint more »

site for 3 days per week with. You'll need to: Be highly experienced in Python and SQL - as well as time series & Bayesian modelling. Have a STEM background/degree Ideally have financial services experience, but this is by no means essential Your notice period can more »

exposure to futures products - EU or US - with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a contract or more »

on complex clinical trial designs and novel and standard statistical methodologies, i.e. adaptive designs, dose-response model selection and analysis, Bayesian methods, biomarker studies. To promote the use of statistical concepts within research across the Trust. To ensure the statistical service delivered is efficient, effective, and more »

to solve commercial problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL … deep work) and within a team - supportive, collaborative. keen interest in data analytics - bringing to the team, new approaches, best practice developments, and analytical methods from other walks of life. critical thinker and a problem solver. proactive, detail focused, person who is curious and seeks continuous improvement both in more »