About the Role

The Training Solutions Research Scientist role at AWS focuses on applying scientific methods to enhance learning and credentialing. Responsibilities include designing experiments, analyzing data, and translating insights into actionable strategies. The position requires collaboration with cross-functional teams to innovate and improve customer learning experiences.

Key Responsibilities

• Design and conduct scalable research projects on learning and credentialing
• Analyze data using advanced statistical methodologies to derive insights
• Collaborate with cross-functional teams to define requirements and deliver solutions
• Communicate research findings to technical and non-technical stakeholders
• Contribute to strategic planning and technical roadmaps for the team

Required Skills & Qualifications

Must Have:

• Master's degree or above in a quantitative field (e.g., engineering, computer science, statistics)
• 4+ years of quantitative field research experience
• Experience investigating feasibility of applying scientific principles to business problems
• Experience analyzing experimental and observational data sets
• Experience conducting research on a global scale

Nice to Have:

• Knowledge of R, MATLAB, Python, or similar scripting languages
• Experience with agile development methodologies
• Experience in causal modeling (e.g., A/B testing, graphical models, machine learning)
• Experience with various machine learning techniques and programming tools (e.g., SQL, Hive, SAS)

Benefits & Perks

• Base pay ranging from $136,000 to $212,800/year depending on geographic market
• Equity, sign-on payments, and other forms of compensation as part of total package
• Full range of medical, financial, and other benefits
• Inclusive culture with accommodations for disabilities during hiring process