Senior Data Scientist - Payments (Inference)

Gomyneed Private Limited; Northern (KY); Hybrid; USD 179,000 - 210,000; Full time

Job summary

Airbnb in the United States is seeking a Senior Data Scientist - Payments (Inference) to lead causal inference, experiments, and ML-driven evaluation in a remote capacity.

You will develop predictive models, simulate interventions to optimize platform workflows, and deliver clear research reports to stakeholders. The role requires 5+ years in quantitative roles with a Master’s or 3+ with a PhD, and proficiency in Python or R and SQL.

Qualifications

• 5+ years in a quantitative role with a Master’s degree, or 3+ years with a PhD.
• Strong knowledge of causal inference, experimentation, and end-to-end ML development.
• Proficient in Python or R and SQL; ability to communicate to varied audiences.

Responsibilities

• Inference: Develop and apply causal inference methods to measure impact.
• AI/ML: Build robust evaluation methods for ML/AI models.
• Optimization: Simulate interventions to optimize strategies.
• Communication: Deliver reports and visualizations to stakeholders.
• Empowerment: Scale measurement and customer insights.

Skills

Causal inference

Experimentation

End-to-end ML development

Communication

Education

Master’s degree in quantitative field

PhD in quantitative field

Tools

Python

SQL

R

Job description

Senior Data Scientist - Payments (Inference)

Remote Remote Data

About this role

Airbnb is hiring a Senior Data Scientist - Payments (Inference) (Remote - USA). This is a Data role listed on the official Airbnb careers site.

Key Responsibilities

• Inference: Develop and apply causal inference methods, including experiments, econometric regressions, and quasi-experimental methods to measure platform and product impact.
• AI/ML: Build methods for robust evaluation of ML/AI model performance, develop predictive models, and support evaluation of agentic and LLM-based systems.
• Optimization: Simulate the impact of new interventions and develop data products to optimize product and operational strategies.
• Communication: Deliver research reports and data visualizations, and present findings to stakeholders to drive impact.
• Empowerment: Think strategically about opportunities to improve and scale measurement and customer insights.

Requirements

• 5+ years of industry experience in a quantitative role with a Master’s degree in a quantitative field, or 3+ years with a PhD.
• Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.
• Skilled in statistical programming (Python or R) and SQL.
• Track record of owning a business or technical domain end to end.
• Ability to communicate clearly to audiences of varying technical levels.

Salary: $179,000–$210,000 per year

Job Type: Remote