8 of 8 Bayesian Methods Jobs

incrementality testing, geo-lift and attribution to inform budget decisions Develop and productionize models in clients' cloud environments; ensure end-to-end operationalization Present methods and findings to CMOs; own recommendations and influence client decisions Contribute to the design and improvement of measurement stacks and productization of measurement capabilities … experience Genuine marketing fluency across retail media, paid social, and brand-building dynamics Serious data science background with causal inference, Bayesian methods, forecasting, and optimization; coding ability CMO-grade communication to explain complex methods and actionable recommendations Production instincts: MLOps, cloud deployment, production-ready deliverables ...

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 ...

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 ...

use. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and an interest in applying advanced computational, statistical, and AI methods to solve complex research and business problems. Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with … offer visa sponsorship for this position. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership ...

Overview In this role, you will drive data-driven marketing insights by building and operationalizing advanced models, notably Bayesian Media Mix Models (MMM) and ROI frameworks. You'll be the technical engine behind measuring marketing impact, guiding multi-channel growth, and ensuring model reliability at scale. Collaborating … options programme 25 days of paid annual leave Newest MacBook models Confidential Employee Assistance Program (EAP) Annual learning budget Hybrid Work Verantwoordelijkheden Evolve Bayesian MMMs and ROI frameworks to deliver precise business insights Build and maintain econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact ...

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 ...

quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals to improve … Python skills, with experience working with large, complex and imperfect datasets. Strong grounding in statistical analysis (e.g., classical ANOVA, non-parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based ...

contribute to a team's success. Join Us. Power the Mission. Position Responsibilities: Derive and quantify data fusion algorithms and techniques (Kalman Filters, Bayesian Networks, statistical modeling, etc.) Author and maintain technical description documents, requirements and algorithm analysis memos (AAMs) for data fusion algorithms and techniques Analyze … Experience with sensor data such as Radar and various infrared sensors Experience developing and implementing probabilistic models to combine sensor data such as Bayesian reasoning, Kalman filtering and evidence theory Experience with advanced probability statistics and applying in real world scenarios Drug Free Workplace: Boeing ...