26 to 50 of 63 Experimental Design Jobs in the UK

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

sources (ad performance, user behavior, market trends) to uncover actionable insights. • Modeling & Experimentation: Build and maintain predictive models, apply causal inference techniques, and design experiments (e.g., conversion lift studies) to measure true impact. • Optimization: Use data-driven insights to optimize campaigns, bidding strategies, and targeting to maximize ...