12 of 12 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 ...

Opportunity You will have the opportunity to help shape and mature Data Science across South East and South West London, applying advanced methods to challenges spanning Population Health Management, strategic commissioning, inequalities, planning and service improvement. The opportunity goes beyond developing sophisticated models. You will influence how Data Science … preparation modelling validation deployment monitoring evaluation measurable benefit You will provide senior technical and methodological authority, challenging analytical approaches where necessary and ensuring that methods and models are appropriate for the problem being addressed. You will work closely with Data Engineers to ensure that the data preparation, orchestration, transformation ...

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 ...

security clearance requirements for projects. 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 analyses that guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout … dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy ...

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 ...

investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical assumptions, identifying patterns and analysing how results change over time . You'll often be working with data from multiple sources, so experience … determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets Ability to work with incomplete ...

investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical assumptions, identifying patterns and analysing how results change over time . You'll often be working with data from multiple sources, so experience … determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: ** Strong quantitative and statistical analysis experience ** Bayesian modelling and statistical validation ** Python or R ** Predictive modelling, forecasting and segmentation ** Experience working with large, complex datasets ** Ability to work with incomplete ...

Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data … plus Must possess qualities of being curious and eagerness to learn . Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. Demonstrated research and problem solving skills via prior work ...

Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality ...

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 ...