Amazon’s Central Learning Solutions (CLS) Science team is seeking a Data Scientist I to help drive the CLS science roadmap for personalized learning experiences. This role focuses on causal inference for training interventions, recommending interventions based on learner profiles, and evaluating outcomes using A/B weblabs.
Key Responsibilities
- Design scalable, efficient, and automated processes for large-scale data analyses, including model development, model validation, and implementation.
- Apply advanced causal inference approaches to estimate learning curves for different learner profiles and to assess the effectiveness of training content.
- Conduct statistical analysis and statistical testing, including hypothesis testing and A/B testing.
- Develop and implement new statistical, machine learning, and mathematical methodologies to address specific business problems.
- Share deep-dive analyses with both technical and non-technical stakeholders, ensuring clarity and influencing business partner strategy.
Required Qualifications
- 1+ years of experience with data querying languages (for example, SQL), scripting languages (for example, Python), or statistical and mathematical software (for example, R, SAS, Matlab).
- 2+ years of experience as a data or research scientist, statistician, or quantitative analyst in an internet-based company working with complex and large-scale data sources.
- 1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
- Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience working in STEM.
Preferred Qualifications
- 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 technologies such as Hadoop, Spark, Map-reduce, and Hive.
- Experience working with or evaluating AI systems.
- Experience applying quantitative analysis to solve business problems and make data-driven business decisions.
- Experience communicating complex concepts through written and verbal communication.
Technologies
SQL, Python, R, SAS, Matlab, SPSS, S-PLUS, Hadoop, Spark, Map-reduce, Hive, A/B testing, A/B weblabs
Role Overview
The Central Learning Solutions (CLS) Science team within Amazon Operations builds solutions to enhance leadership and associate development across the organization. The team develops technology and mechanisms for creating personalized learning experiences based on different learner profiles and evaluating post-training performance curves for those profiles. This position supports driving the data science roadmap for CLS Science.
The work includes leveraging statistics and econometrics to estimate the causal impact of training interventions, recommend appropriate interventions for specific learner profiles, and measure post-launch success of interventions using A/B weblabs. Insights from these analyses support dynamically changing training content in Learning and Development courses and identifying opportunities to improve both training effectiveness and learner experience.
The role also involves collaborating with internal stakeholders and cross-functional teams to solve business problems, create operational efficiencies, and deliver against high organizational standards.
Location
Bellevue, WA (onsite)
Compensation
USD 108,300 - 160,000 per year
Education
Master’s degree in Science, Technology, Engineering, or Mathematics (STEM)
Benefits
- 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
- Parental leave
