Causal Inference Jobs in California (NOW HIRING)

Develop hypotheses and apply rigorous causal inference methods - controlled experiments, synthetic controls - to make actionable recommendations * Investigate anomalies, conduct root cause analyses ...

The role partners closely with product, analytics engineering, and fellow data scientists to build in-house causal inference tools, define KPIs, build production-ready analytical workflows, and ...

The ideal candidate brings strong applied causal inference intuition, hands-on experience with advanced measurement techniques, and the ability to write clean, efficient production code. You will ...

Track record developing predictive propensity models and causal inference frameworks (A/B testing, incrementality). * Excellent communication and stakeholder management skills, with demonstrated ...

We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...

Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies * Mentor and guide the professional and technical development of your ...

This individual will design and deploy causal inference pipelines, longitudinal and multiscale temporal models, and multimodal data integration approaches connecting omics, clinical phenotypes, and ...

The ideal candidate brings strong applied causal inference intuition, hands-on experience with advanced measurement techniques, and the ability to write clean, efficient production code. You will ...

Establish robust experimentation and causal inference frameworks to measure the impact of algorithmic changes on advertiser outcomes, rider experience, and platform revenue. * Bridge the gap between ...

We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...

Designing and deploying causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behavior * Developing optimization frameworks that ...

Establish robust experimentation and causal inference frameworks to measure the impact of algorithmic changes on advertiser outcomes, rider experience, and platform revenue. * Bridge the gap between ...

Technical ownership: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, causal inference / ML methodologies, and experimentation best practices to validate them.

This individual will design and deploy causal inference pipelines, longitudinal and multiscale temporal models, and multimodal data integration approaches connecting omics, clinical phenotypes, and ...

Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies * Mentor and guide the professional and technical development of your ...

As an Applied Scientist, you will work on the most technically challenging projects of the science team, tackling complex causal inference questions and designing intricate experiments.Problems we're ...

We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and ...

Use advanced ML, causal inference, and generative AI techniques to model and explain complex interactions across the Pinterest ecosystem (e.g., organic engagement, ads, content quality, monetization ...

... and causal inference, to enhance targeting, personalization, and attribution models. • Experimentation and Validation - Design, run, and analyze A/B experiments to test ML-driven strategies ...

You'll work at the intersection of causal inference, channel economics, and attribution, partnering closely with Growth leadership and our Head of Marketing Data Science. Responsibilities * Own ...