Director Causal Inference Jobs (NOW HIRING)

THE ROLE Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM ... Deep grounding in causal inference methodologies, including causal forests, treatment-effect ...

About the team We're looking for a Director of AI Analytics & CEO Office to lead to provides ... Lead the development of causal inference frameworks to quantify the impact of macroeconomic shifts ...

Run causal inference analyses (e.g., diff-in-diff, matching, uplift modeling) under the Sr. Director's guidance. You'll find which subscriber behaviors truly drive retention and long-term value ...

Run causal inference analyses (e.g., diff-in-diff, matching, uplift modeling) under the Sr. Director's guidance. You'll find which subscriber behaviors truly drive retention and long-term value ...

... direct supervisory authority. * 2 years post-doctoral experience applying causal inference methods to real-world healthcare data, especially administrative CMS claims. Equal Opportunity Field We ...

Ideally you bring experience with reinforcement learning, causal inference, and/or the design of ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...

THE ROLE Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM ... Deep grounding in causal inference methodologies including causal forests treatment-effect ...

Run causal inference analyses (e.g., diff-in-diff, matching, uplift modeling) under the Sr. Director's guidance. You'll find which subscriber behaviors truly drive retention and long-term value ...

THE ROLE Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM ... Deep grounding in causal inference methodologies including causal forests treatment-effect ...

... causal directed acyclic graphs and single world intervention graphs. • Implement existing causal inference estimation strategies and develop new ones as necessary for considering novel causal ...

... causal directed acyclic graphs and single world intervention graphs. • Implement existing causal inference estimation strategies and develop new ones as necessary for considering novel causal ...

... causal directed acyclic graphs and single world intervention graphs. • Implement existing causal inference estimation strategies and develop new ones as necessary for considering novel causal ...

... • Applying causal inference methodologies (difference-in-differences, synthetic controls ... with directors and senior leaders to frame complex, cross-functional challenges and translate ...

Training in causal inference methodologies is strongly preferred. * Broad understanding of health policy issues in the United States * Experience using health care and public health data sources (e.g ...

Causal Inference: Hands-on experience with advanced causal inference techniques, specifically propensity score matching , difference-in-differences (DiD) , and synthetic control methods.

... directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations ... You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks ...

You will report directly to the Senior Director of Data Science and serve as a high-visibility IC ... Leverage advanced causal inference methodologies to measure the effectiveness of platform ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... Develop causal inference methodologies to understand true incrementality of product changes.

The candidate will be responsible for developing and leading analytical causal inference analyses ... Director of Projects and Operations, CAUSALab Contact Email jmichalski@hsph.harvard.edu Salary ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... Develop causal inference methodologies to understand true incrementality of product changes.