9 of 9 Bayesian Methods Jobs

biggest brands in the US. They are completely rebuilding their flagship products around Bayesian frameworks, moving away from legacy frequentist methods to process tens of millions of data points with higher accuracy and speed. They need a Senior Data Scientist to set the technical standard … Bayesian methods across a growing 25-person UK team. You will directly own core models, choose the best methods for the job, and see your work guide major commercial decisions. Drive Model Strategy: Select and build the right Bayesian, frequentist ...

biggest brands in the US. They are completely rebuilding their flagship products around Bayesian frameworks, moving away from legacy frequentist methods to process tens of millions of data points with higher accuracy and speed. If you are considering sending an application, make sure … button below after reading through the entire description. They need a Senior Data Scientist to set the technical standard for Bayesian methods across a growing 25-person UK team. You will directly own core models, choose the best methods for the job, and see your ...

both technical and non-technical audiences. A proven track record of turning business problems into measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring ...

communication and data-driven recommendations. Comfortable operating in a fast-paced environment with a high degree of ownership. Nice to have: Experience with Bayesian modelling frameworks such as PyMC. Exposure to value-based bidding and marketing attribution challenges. Experience within consumer, marketplace, travel, ecommerce, or subscription-based ...

attribution and customer acquisition economics. Commercially minded, with the ability to influence marketing strategy. An AI-first approach to data science. Experience with Bayesian modelling, value-based bidding or LTV modelling would be advantageous. Package: £70,000-£90,000 + bonus and benefits Location: Fully remote within ...

communicate technical concepts to marketing and commercial stakeholders. Comfortable using AI to improve experiment design, workflow efficiency and analytical processes. Nice to have Bayesian modelling (PyMC, Stan). Value-based bidding. Offline conversion uploads. Marketplace, travel, subscription or considered-purchase environments. LTV and payback modelling experience. ...

rich environments Strong statistical knowledge Experience with product analytics and behavioural tracking Experience mentoring or coaching other analysts Nice to have Knowledge of Bayesian or Frequentist experimentation approaches Experience with event-level analytics platforms Predictive analytics exposure The team You'll report into the Analytics Team Lead ...

Build production-grade Python packages Follow and build project scaffolds (PowerShell), follow coding standards, and reproducible workflows Transform analyses into standardized currently best-known methods (cBKM) Process data and automate data flows; manage and optimize data structure & data bases for big data sets Interact with product and service teams … Bachelor or Master Degree: Statistics/Computer Science/Data Science//Industrial Engineering Expert knowledge of Python, statistical modelling (frequentist and Bayesian) and data visualization Intermediate knowledge of PowerShell, R and SQL AI expert knowledge Project management Comfortable with non-recurrent, high-complexity engineering analyses ...

DUTIES: Apply advanced quantitative and statistical methods to support business model development and product innovation. Develop and implement Bayesian models and stochastic simulations to generate insights and predictions, including analyses of user behavior and system performance. Manage projects end-to-end, including data extraction, cleaning, and … higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented ...