Causal Inference Jobs in Massachusetts (NOW HIRING)

... of causal inference methods - randomized controlled trials, difference-in-differences, regression discontinuity, and related approaches is a plus Company : Founded in 1908 as part of Harvard ...

... causal inference methods - randomized controlled trials, difference-in-differences, regression discontinuity, and related approaches is a plus Company : Kennedy School of Government at Harvard ...

Research experience in HIV epidemiology, substance use/cannabis research, health informatics, aging research, or causal inference methods is desirable but not required. Applicants should have the ...

Drive analytical rigor and procedures in modeling, experimentation (A/B testing, causal inference), and measurement * Contribute to initiatives that improve analytics delivery efficiency, including ...

Are you equally comfortable discussing RCTs, sampling, confidence intervals, and causal inference as you are working with product, data, fundraising, and executive teams to turn evidence into better ...

Drive analytical rigor and procedures in modeling, experimentation (A/B testing, causal inference), and measurement * Contribute to initiatives that improve analytics delivery efficiency, including ...

Design and oversee experimentation (A/B testing, causal inference) with clear success criteria, and bring rigor to how we measure what's working and what isn't. * Collaborate machine learning ...

Design and oversee experimentation (A/B testing, causal inference) with clear success criteria, and bring rigor to how we measure what's working and what isn't. * Collaborate machine learning ...

... causal inference, including the ability to explain methodology choices and validate assumptions • Demonstrated experience deploying and maintaining models or analytical systems in production using ...

... causal inference, including the ability to explain methodology choices and validate assumptions • Demonstrated experience deploying and maintaining models or analytical systems in production using ...

... causal inference • Ability to work across disciplines and communicate effectively with both technical and non-technical stakeholders • Experience connecting data analysis to real-world ...

The ideal candidate will have existing expertise in several of the following areas, aligned with our research focus: 1) Causal inference, invariant learning and representation learning ...

... causal inference • Ability to work across disciplines and communicate effectively with both technical and non-technical stakeholders • Experience connecting data analysis to real-world ...

... causal inference, including the ability to explain methodology choices and validate assumptions • Demonstrated experience deploying and maintaining models or analytical systems in production using ...

Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives * Partner with Product and Engineering teams ...

Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives * Partner with Product and Engineering teams ...

Causal inference * dbt * Ad-tech or OOH domain familiarity

... causal inference 3. Optimize model performance for latency, accuracy, and cost across cloud environments 4. Contribute to the design of human-in-the-loop workflows and explainable AI systems 5. ...

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the ...

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the ...