Causal Inference Jobs in Florida (NOW HIRING)

In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user ...

These products include using algorithms for automation, building predictive models, designing experiments, attempting causal inference with observational data, and using mathematical optimization to ...

You will build and refine a range of applied machine learning solutions, including causal inference models, optimization frameworks, recommendation systems, and behavioral segmentation models. This ...

Develop causal inference methodologies to understand true incrementality of product changes. * Ensure models are observable, explainable where needed, and continuously improved post-launch Product ...

You will build and refine a range of applied machine learning solutions, including causal inference models, optimization frameworks, recommendation systems, and behavioral segmentation models. This ...

Work with data engineering, modeling, causal inference, and process-improvement staff to prepare data for optimization and policy evaluation. * Convert predictions, risk scores, causal estimates ...

The work is primarily quantitative: cleaning and analyzing data, implementing causal inference methods, producing tables and figures, and drafting sections of manuscripts for peer-reviewed journals ...

Experimentation & Causal Inference * Design and execute A/B and multivariate tests to measure the causal impact of sales interventions, outreach strategies, and personalization initiatives. * Apply ...

Experimentation & Causal Inference * Design and execute A/B and multivariate tests to measure the causal impact of sales interventions, outreach strategies, and personalization initiatives. * Apply ...

However, candidates with expertise in other areas, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, cost-effectiveness analysis, and missing data are ...

Learning analytics and/or education data mining Candidates with related expertise, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, and methods for ...

Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics. You Have * MS or PhD in Operations Research, Mathematics, Statistics, Economics ...

Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics. You Have * MS or PhD in Operations Research, Mathematics, Statistics, Economics ...

Exposure to causal inference or econometric modelling * Experience with distributed computing or large-scale model training * Interest in experimental or automated research frameworks (e.g. multi ...

We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding the underlying architecture and causal factors of human ...

Hands-on experience designing and analyzing incrementality tests, geo-lift studies, and causal inference experiments (synthetic control, difference-in-differences, uplift modeling). * Strong ...

Hands-on experience designing and analyzing incrementality tests, geo-lift studies, and causal inference experiments (synthetic control, difference-in-differences, uplift modeling). * Strong ...

Hands-on experience designing and analyzing incrementality tests, geo-lift studies, and causal inference experiments (synthetic control, difference-in-differences, uplift modeling). * Strong ...

... causal inference, statistical methods of health surveys, high dimensional inference, longitudinal data analysis, and clinical trials. The department is home to the Children's Oncology Group, the ...

... causal inference, statistical methods of health surveys, high-dimensional inference, longitudinal data analysis, and clinical trials. The Department works closely with the NIH-funded Clinical and ...