Causal Inference Jobs (NOW HIRING)

Causal Inference & Strategy: Design and execute experimental and quasi-experimental frameworks to identify the "levers" of the business. You will answer critical questions regarding price elasticity ...

This course will cover regression, identification strategies, and causal inference techniques for evaluation of programs, products, and policies. Core Course Responsibilities Summary: * Course ...

Posted Job Title Research Manager, Center for Causal Inference (Biostatistics Division) Job Profile Title Manager D, Research Summary Oversees the day-to-day operations of the Penn Center for Causal ...

Build production systems for causal inference that maintain statistical rigor at enterprise scale * Develop algorithms that are both mathematically sound and computationally efficient * Collaborate ...

... Causal Inference, DML, etc... - Expertise in deep learning and optimization algorithms. - Experience with ML frameworks such as PyTorch and TensorFlow. - Experience building and productionizing ...

... Causal Inference, DML, etc...- Expertise in deep learning and optimization algorithms.- Experience with ML frameworks such as PyTorch and TensorFlow.- Experience building and productionizing ...

Candidates should be current graduate students or recent graduates in a quantitative field like Statistics or Economics, with knowledge of causal inference methods and coding skills in SQL, Python ...

The research partners include the Yale Pharmacoepidemiology Working Group (Yale PEW) and the Practical Causal Inference (PCI) lab at UCLA. Qualifications Candidates should possess a PhD, preferably ...

Developing causal estimands, randomization schemes, and inference procedures whose primary goal is identifiability and validity, not just reward optimization. * Embedding rigorous experimental ...

Developing causal estimands, randomization schemes, and inference procedures whose primary goal is identifiability and validity, not just reward optimization. Embedding rigorous experimental control ...

... Causal Inference, DML, etc...- Expertise in deep learning and optimization algorithms.- Experience with ML frameworks such as PyTorch and TensorFlow.- Experience building and productionizing ...

Developing causal estimands, randomization schemes, and inference procedures whose primary goal is identifiability and validity, not just reward optimization. * Embedding rigorous experimental ...

The research partners include the Yale Pharmacoepidemiology Working Group (Yale PEW) and the Practical Causal Inference (PCI) lab at UCLA. Qualifications Candidates should possess a PhD, preferably ...

Expertise is required in the specific area of causal inference methods development and applications, with the ability to establish oneself as a research leader in their area of specialization.

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

Postdoc in Causal Inference of Complex Gene Networks We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods ...

Additional Information Postdoc in Causal Inference of Complex Gene Networks We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical ...

Additional InformationPostdoc in Causal Inference of Complex Gene Networks We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical ...

In this role, you will lead the development of cutting-edge statistical and causal inference methods, design and analyze large-scale experiments on Apple Media products, and partner closely with ...