Data Scientist, Central Learning Solutions - Technology
Amazon.com
The Central Learning Solutions (CLS) - Science team builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms for building personalized learning courses based on the profiles of different learners and asses the post-training performance curves for different learner profiles.
As a Data Scientist on the team, you will be driving the data science/ML roadmap for the CLS t Science team. You will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post-launch success of these interventions through A/B weblabs. These insights will help in dynamically changing the training content of Learning & Development courses and unlock opportunities to improve both training effectiveness and learner experience. You will collaborate effectively with internal stakeholders and cross-functional teams for solving business problems, create operational efficiencies, and deliver successfully against high organizational standards.
Key job responsibilities
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
- Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.
- Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.
- Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.
- Present deep dives and analysis to both technical and non-technical stakeholders, ensure clarity, and influence the strategy of business partners.
About the team
We serve North America L&D orgs as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.
As a Data Scientist on the team, you will be driving the data science/ML roadmap for the CLS t Science team. You will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post-launch success of these interventions through A/B weblabs. These insights will help in dynamically changing the training content of Learning & Development courses and unlock opportunities to improve both training effectiveness and learner experience. You will collaborate effectively with internal stakeholders and cross-functional teams for solving business problems, create operational efficiencies, and deliver successfully against high organizational standards.
Key job responsibilities
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
- Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.
- Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.
- Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.
- Present deep dives and analysis to both technical and non-technical stakeholders, ensure clarity, and influence the strategy of business partners.
About the team
We serve North America L&D orgs as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.
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