Causal ML Scientist for Pricing & A/B Analytics

Amazon; Memphis (TN); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Memphis, TN is seeking an Applied Scientist to focus on causal inference in pricing experimentation. The successful candidate will build causal ML pipelines, collaborate closely with economists, and evaluate pricing models for real business impacts. Requirements include a Ph.D. or a Master’s with 4+ years in a related field, programming experience, and familiarity with various algorithms and data structures. Comprehensive benefits and a competitive salary range of $142,800 to $193,200 annually are offered.

Qualifications

• Ph.D. or Master’s with 4+ years experience in CS, CE, or ML.
• Experience programming in Java, C++, Python or related languages.
• Familiarity with algorithms, data mining, and numerical optimization.

Responsibilities

• Build causal ML pipelines for pricing and evaluate model performance.
• Own the science on heterogeneous treatment effects for the team.
• Support pricing experiment analysis with causal methodology.
• Define business metrics related to model outputs.
• Assess applicability of new causal inference methods.
• Generate internal documentation and methodology papers.
• Collaborate with economists on causal assumptions and model design.

Skills

Causal ML methodology

Programming in Java, C++, or Python

Algorithms and data structures

Numerical optimization

Parallel and distributed computing

Education

Ph.D. or Master’s degree in CS, CE, ML

Tools

Unix/Linux

Job description

Amazon in Memphis, TN is seeking an Applied Scientist to focus on causal inference in pricing experimentation. The successful candidate will build causal ML pipelines, collaborate closely with economists, and evaluate pricing models for real business impacts. Requirements include a Ph.D. or a Master’s with 4+ years in a related field, programming experience, and familiarity with various algorithms and data structures. Comprehensive benefits and a competitive salary range of $142,800 to $193,200 annually are offered.