Amazon.com LLC
Corporate Operations, Science, transportation and logistics
Sr.DataScientist,ProductScience&Analytics
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“Sr. Data Scientist, Product Science & Analytics at Amazon.com LLC. Skills: Data science, Learning science, Statistical modeling. Conduct research on learning and development trends. Analyze data to identify learning needs”
What You'll Achieve.
Improve program outcomes
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Experience with statistical models
Nice to Have
2+ years data visualization experience, Experience managing data pipelines
What You'll Do.
Conduct research on learning and development trends
Analyze data to identify learning needs
Use data-driven insights to inform design
Collaborate with cross-functional teams
Develop comprehensive learning programs
Design learning experiences
Create engaging learning materials
Develop evaluation frameworks
Assess effectiveness and impact
Collect and analyze feedback
Iterate on learning interventions
Serve as subject matter expert
Align learning initiatives with priorities
Share knowledge and best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders across the company
Full Job Description
As a Sr. Data Scientist 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: - 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. 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. 4) 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
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