Amazon Applied Science Manager - Learning Development Team Product 

United States, Washington, Bellevue 

804700533

As an Applied Science Manager on our Learning and Development team, you will play a critical role in driving the design, development, and delivery of learning programs and initiatives aimed at enhancing leadership and associate development within the organization. You will leverage your expertise in learning science, data analysis, and statistical model design to create impactful learning journey roadmap that align with organizational goals and priorities.Key job responsibilities
1) 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.2) Program Design and Development: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.3) 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.

- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 3+ years of building machine learning models or developing algorithms for business application experience
- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience

- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- 3+ years of scientists or machine learning engineers management experience