Applied Scientist - Learning and Development

Job Description

As an Applied Scientist on the Learning and Development team at Amazon, you will play a pivotal role in designing, developing, and delivering learning programs aimed at enhancing leadership and associate development within the organization. Your expertise in learning science, data analysis, and statistical model design will be crucial in creating impactful learning journey roadmaps that align with Amazon's organizational goals and priorities.

Key Responsibilities

Research and Analysis

• Conduct research on learning and development trends, theories, and best practices related to leadership and associate development.
• Analyze data to identify learning needs, performance gaps, and opportunities for improvement within the organization.
• Use data-driven insights to inform the design and implementation of learning interventions.

Program Design and Development

• Collaborate with cross-functional teams to develop comprehensive learning programs focused on leadership development and associate growth.
• Design learning experiences using evidence-based instructional strategies, adult learning principles, and innovative technologies.
• Create engaging and interactive learning materials, including e-learning modules, instructor-led workshops, and multimedia resources.

Evaluation and Continuous Improvement

• Develop evaluation frameworks to assess the effectiveness and impact of learning programs on leadership development and associate performance.
• Collect and analyze feedback from participants and stakeholders to identify strengths, areas for improvement, and future learning needs.
• Iterate on learning interventions based on evaluation results and feedback to continuously improve program outcomes.

Thought Leadership and Collaboration

• Serve as a subject matter expert on learning science, instructional design, and leadership development within the organization.
• Collaborate with stakeholders across the company to align learning initiatives with strategic priorities and business objectives.
• Share knowledge and best practices with colleagues to foster a culture of continuous learning and development.

Basic Qualifications

• 3+ years of experience in building models for business applications.
• PhD, or Master's degree and 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python, or related languages.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications

• Experience using Unix/Linux.
• Experience in professional software development.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Compensation

The base pay for this position ranges from $136,000/year to $222,200/year, depending on market location and job-related knowledge, skills, and experience. Amazon offers a total compensation package, which may include equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial, and/or other benefits.