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Workplace Health and Safety Data Scientist, Safety Sentiment

Job ID: 2191385 | Services LLC


Job summary
The Worldwide Workplace Health and Safety (WHS) team is hiring a Data Scientist to help us analyze, process, and model data to create actionable plans to measure and improve Amazon’s organizational culture as it relates to health and safety of our employees. The role will analyze the impact of behavioral and organizational changes, support data-driven decision making by business leaders, and facilitate the development of innovative products that improve the safety outcomes and overall employee experience across our global operations.

The role will collaborate with internal technical, business WHS and operations teams, to support the development, implementation and ongoing measurement of safety programs and initiatives to meet our vision of being Earth's safest place to work.

Key job responsibilities
* Support the development of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.
* Contribute to the design and implementation of data infrastructure and pipelines for machine learning and analytics products.
* Obtain, merge, analyze, and report data using SQL, statistics software, and data visualization tools.
* Apply various statistical and machine learning techniques to analyze large and complex data sets related to safety engagement, safety leadership and other behavioral factors.
* Communicate applied machine learning and statistic concepts to project sponsors, business leaders, and development teams across Amazon.
* Understand business customer needs, iterate on feedback, and drive adoption


* A Master’s Degree in Computer Science, Machine Learning, Operational research, Statistics or in a highly quantitative field or equivalent experience.
* 4+ years of hands-on experience in predictive modeling and analysis, statistics, and machine learning.
* 3+ year of coding experience with modern programming or scripting language (Preferably Python).
* Advanced SQL and query performance tuning skills.
* Strong communication and data presentation skills


* Experience with safety programs or safety management systems.
* Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
* Familiar with machine learning tools and data infrastructure in Amazon Web Service
* Experience with web scripting / markup languages (HTML)
* Experience with AWS technologies (Sagemaker, S3, Glue, EC2, Data Pipeline, Lambda)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit