Data Scientist, ALX

- 3+ 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 scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Master's degree
- Experience with applied time series modeling, causal inference, or machine learning forecasting applications.

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Amazon’s leadership experience (ALX) organization is looking for a Data Scientist to join our interdisciplinary science team. In this role, you will work with Data Scientists, Applied Scientists, Economists, Data Engineers, Product & Program Managers. This position requires strong analytical and critical thinking skills, solid written and verbal communication skills, goal-oriented problem solving, demonstrated ownership, and ability to deliver results. The role will be responsible for developing science and generating insights that help more than 1.5 million employees build rewarding careers and shape how we manage Amazon's talent.

ALX is responsible for managing all aspects of Amazon employees' careers, from onboarding to exit. We build intelligent products that are used by employees, their managers and senior leadership to grow, develop and reward Amazon’s talent. The domains we cover include career development, talent evaluation, employee-role matching, promotions, organizational design and succession planning, and new areas that address the evolving needs of our diverse employee base.

We are looking for a data scientist who has experience building, applying and customizing statistical and machine learning models to solve customer problems. As a data scientist on the team, you will play a critical role in driving that handle Amazon-scale use cases and have a significant impact on our employees' lives. You will have the opportunity to lead exciting problems, publish and patent your work in one of the most high impact and innovative applications of science in the People Experience and Technology space.

If this kind of work excites you, reach out to us to find out more!


Key job responsibilities
- Collaborate with cross-functional leaders from product and engineering to implement measurable, data-driven science solutions
- Implement statistical, machine learning, or other mathematical methodologies to solve specific business problems
- Design, develop and maintain forecast and anomaly detection model to generate insights for organizational planning at Amazon.
- Analyze historical data to identify trends and support decision making.
- Actively mentor junior Data Scientist colleagues on trends, technologies, and best practices
- Authoring and maintaining detailed technical documentation related to the projects you drive.


About the team
ALX's science team is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include forecasting, anomaly detection, topic modeling, GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.