Causal Inference Jobs in Columbia, MD (NOW HIRING)

Mathematica is hiring researchers with specific expertise inquantitative research methods, causal inference, and policy research, who willconduct studies and support program evaluation in the areas ...

Mathematica is hiring researchers with specific expertise inquantitative research methods, causal inference, and policy research, who willconduct studies and support program evaluation in the areas ...

Description Postdoctoral Fellowship opening to work on applied causal inference, and especially statistical approaches for studying health policy, under the direction of Dr. Elizabeth Stuart and in ...

Strong understanding of fundamental causal inference and causal discovery algorithms. * Experience with the design, development and implementation of causal ML algorithms. * Ability to lead research ...

Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis through interpretation. Where randomization isn't possible, use quasi-experimental methods such as ...

Experimentation and causal inference - Own A/B tests end-to-end, from design and power analysis through interpretation. Use quasi-experimental methods where randomization isn't possible, such as ...

Go beyond average treatment effects to understand heterogeneity, long-term impact, novelty effects, and cross-surface interactions. • Causal Inference: Apply causal methods (difference-in ...

Causal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental variables, propensity scoring, switchback designs) where randomization is not feasible. Decision ...

Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference ...

Apply econometrics and statistical modeling, including regression analysis, panel data methods, and causal inference techniques. * Develop analytic frameworks linking facility usage to downstream ...

Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...

Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...

Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...

Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making. * Mentorship ...

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making. * Mentorship ...

Mastery of an advanced mathematical, statistical, or quantitative social science discipline combined with a deep understanding of advanced statistical, econometric, or causal inference methods. A Ph.

Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...

Mastery of an advanced mathematical, statistical, or quantitative social science discipline combined with a deep understanding of advanced statistical, econometric, or causal inference methods. A Ph.

Apply econometrics and statistical modeling, including regression analysis, panel data methods, and causal inference techniques. * Develop analytic frameworks linking facility usage to downstream ...