Research Scientist Manager, AWS Workforce Planning

Key Skills

Analytical and Problem solving, AWS, C Programming, C# Programming, C++, Design, Java Programming, Machine learning techniques, Python Programming, R Programming, SQL

Job Description

AWS Workforce Planning Product, Engineering and Science team is looking for a Research Scientist Manager with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral science. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.

This Manager will lead a team of scientists that will work with economists, product managers and engineers to build production level Machine Learning models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for creative thinkers who can combine a strong scientific toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.

Key job responsibilities

You will conduct, direct, and coordinate all phases of research projects, including defining key research questions, developing models, designing and implementing appropriate data collection methods, executing analysis plans, and communicating results.

You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions.

About the team

The AWS Workforce Planning Product, Engineering and Science team has the mission to put the right people in the right place at the right time to staff all of AWS, building scalable and robust software solutions that plan the AWS workforce and support execution to plan.

We harness economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of product, science and engineering to develop and deliver solutions that measurably achieve this goal.

BASIC QUALIFICATIONS

• Master’s degree in a quantitative field
• Solid background in statistics and machine learning, quantitative approaches to business problem solving.
• 5+ years of research experience in a quantitative field and/or product development
• 5+ year experience programming with a mathematical programming language such as Python, R, or major programming language such as Python, Java, C++, C#, or C

PREFERRED QUALIFICATIONS

• Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
• Experience leading others
• 5+ years of research or work experience as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
• Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems.