Director Causal Inference Jobs in Texas (NOW HIRING)

... causal inference for long-term pharmacotherapy. The central methodological contribution is a ... causal directed acyclic graphs, and single world intervention graphs. • Derive efficient ...

The Director, Advanced Analytics sits at the forefront of AT&T's transformation into a truly ... By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics ...

The Director, Advanced Analytics sits at the forefront of AT&T's transformation into a truly ... By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics ...

The Director, Advanced Analytics sits at the forefront of AT&T's transformation into a truly ... By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics ...

... causal inference for long-term pharmacotherapy. The central methodological contribution is a ... Develop and formalize causal estimands using counterfactual theory, causal directed acyclic graphs ...

... causal inference for long-term pharmacotherapy. The central methodological contribution is a ... causal directed acyclic graphs, and single world intervention graphs. • Derive efficient ...

... causal inference for long-term pharmacotherapy. The central methodological contribution is a ... causal directed acyclic graphs, and single world intervention graphs. • Derive efficient ...

Director of Finance and Business Intelligence Location: Remote - US or Canada About the Role As our ... Strong grounding in causal inference and experimental design, including the ability to distinguish ...

... 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 effects.

... 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 ...

Houston TX - Hybrid Duration: Full time/Direct Hire Our client is looking for a Senior Analytics ... Develop advanced analytic initiatives (e.g., prediction modeling, causal inference, experimentation ...

... limited to) causal inference, time series and panel data analysis, design (of experiments/quasi ... Questions about the search process should be directed to jared.murray@mccombs.utexas.edu (Prof.

... Director, Data Science is a key partner for our client and internal teams. In this role, you will ... Strong foundation in statistical modeling, machine learning, causal inference, and experimental ...

... Director, Data Science is a key partner for our client and internal teams. In this role, you will ... Strong foundation in statistical modeling, machine learning, causal inference, and experimental ...

Stakeholder partnership : direct experience working with senior leaders; able to translate strategy ... with causal inference. Comfortable with the tactical underpinnings -- data integrations ...

Stakeholder partnership : direct experience working with senior leaders; able to translate strategy ... causal inference. Comfortable with the tactical underpinnings - data integrations, attribution ...

Stakeholder partnership : direct experience working with senior leaders; able to translate strategy ... causal inference. Comfortable with the tactical underpinnings - data integrations, attribution ...

... causal inference, active learning, spatial modeling, and deep generative models. * Execute multiple ... direct, coordinate, or advise personnel in test procedures. * Coordinate the collection ...