Applied Scientist, Workforce AI & Causal ML

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

Restricted stock units (RSUs)

Job summary

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) is seeking an Applied Scientist to build production machine learning solutions that improve employee experiences and inform workforce decisions. You will work on problems spanning predictive modeling, NLP, recommendation systems, personalization, generative AI, and causal evaluation.

You will develop models from prototype through production, partner with economists and engineers, and communicate results to

Qualifications

• 3+ years of building models for business applications.
• Experience programming in Java, C++, Python or related language.
• PhD, or Master's degree and 4+ years of applied research experience.
• Experience in professional software development.
• Experience in building machine learning models for business applications.
• Experience in designing experiments and statistical analysis of results.

Responsibilities

• Design, develop, and deploy machine learning solutions in production environments.
• Develop solutions using techniques that include predictive modeling, deep learning, natural language processing, recommendation systems, personalization, and generative AI.
• Build models that predict workforce outcomes, identify employee and organizational needs, and recommend targeted actions.
• Partner with economists and other scientists to design causal evaluations and experimental frameworks that measure the impact of programs, products, and policies.
• Combine predictive models with causal estimates to help business partners identify effective actions and make evidence-based decisions.
• Collaborate with product managers, engineers, and business partners to translate business requirements into modeling approaches and contribute to technical design and roadmap decisions.
• Evaluate model accuracy, performance, calibration, and limitations, and identify opportunities for improvement.
• Communicate technical concepts, methods, results, and recommendations to technical peers and business partners.

Skills

3+ years building models

Programming in Java/C++/Python

Education

PhD or Master + 4+ years

Tools

Java

C++

Python

Job description

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) is seeking an Applied Scientist to build production machine learning solutions that improve employee experiences and inform workforce decisions. You will work on problems spanning predictive modeling, NLP, recommendation systems, personalization, generative AI, and causal evaluation.

You will develop models from prototype through production, partner with economists and engineers, and communicate results to