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 ...

Responsibilities : • Design, develop, and iterate on machine learning models, including causal inference, recommendation systems, clustering, and optimization models to address high-impact business ...

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 ...

Leverage Bayesian models, causal inference, and predictive techniques to drive insights. * Translate research into scalable APIs, dashboards, and services. * Collaborate across multidisciplinary ...

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 ...

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 ...

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 with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.

Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.

Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.

... 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 ...

Additionally, the candidate will have strong expertise in target trial emulation/causal inference for observational studies, especially for large electronic medical record databases. Responsibilities:

Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions * This role offers the ...

Additionally, the candidate will have strong expertise in target trial emulation/causal inference for observational studies, especially for large electronic medical record databases. Responsibilities:

Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions * This role offers the ...

Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions * This role offers 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 ...

Strong understanding of experimental design, statistical testing, and causal inference basics. * Ability to translate technical concepts into actionable business insights; skilled in stakeholder ...