Data Scientist: Causal Inference, A/B Testing & GenAI

YO AI Labs; Glendale (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

YO AI Labs is seeking a Data Scientist to lead end-to-end experimentation and causal inference analyses in Glendale, AZ. The role focuses on advanced statistical methods, scalability, and actionable business insights.

The ideal candidate will have 7+ years in experimentation or causal inference, strong skills in Python/R and ML frameworks, and excellent communication to executives. On-site position with a focus on GenAI and analytics at scale.

Qualifications

• Bachelor's degree + 7 years experience with experimentation or causal inference.
• Strong background in statistical modelling: regression, classification, time series forecasting, causal inference.
• Robust knowledge of causal inference approaches: propensity scores, synthetic controls, diff-in-diffs, doubly robust, meta learners, uplift modeling.
• Expertise in A/B test design and advanced causal inference techniques.
• Proficient in sample size calculations, power analysis and minimum detectable effect estimation.
• Experience managing multiple testing scenarios and controlling false discovery rates; ability to deploy Bayesian and frequentist approaches.
• Deep understanding of assumptions for causal inferences and foundational statistics.
• Proven ability to manage end-to-end experimentation and causal inference analyses.

Responsibilities

• Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments.
• Advanced Statistical & Causal Inference: Apply deep knowledge of experimental design and causal methods.
• Build Scalable Solutions: Develop tools/frameworks for experimentation and causal inference across businesses.
• Deliver Strategic Insights: Translate analytics into clear business recommendations for stakeholders.
• Influence Executive Decisions: Present findings to senior leadership and explain statistics to non-technical audiences.

Skills

Python

Machine Learning

Data Science

AWS

Statistical Modeling

Causal Inference

A/B Testing

Bayesian & Frequentist

SQL

GenAI

Semantic Search

Vector DB

Python packages (scikit-learn)

ML Frameworks (e.g., scikit-learn, LGB

Education

Bachelor's degree in Statistics/ Economics/CS/Engineering/Math/Physics

7+ years experience with experimentation or causal inference

Tools

Databricks

Jupyter

Snowflake

GitHub

Job description

YO AI Labs is seeking a Data Scientist to lead end-to-end experimentation and causal inference analyses in Glendale, AZ. The role focuses on advanced statistical methods, scalability, and actionable business insights.

The ideal candidate will have 7+ years in experimentation or causal inference, strong skills in Python/R and ML frameworks, and excellent communication to executives. On-site position with a focus on GenAI and analytics at scale.