Job description

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post-training performance curves for different learner profiles. As a Data Scientist on the team, you will be driving the data science roadmap for the CLS 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 Central Learning Solutions (CLS) is the centralized technical team that builds Learning & Development products for North America Operations employees. CLS Science teams owns the science components that power the different products on Impact Estimation, Self Serve Analytics, Content Understanding, and Personal learning. - 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive) - Experience working with or evaluating AI systems - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience effectively communicating complex concepts through written and verbal communication Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

Requirements

Must-haves

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
1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Experience working with or evaluating AI systems
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

Nice-to-haves

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Keywords to mirror

machine learningsqlpythonai

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave