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Description

We are a passionate team applying the latest advances in technology to solve real-world challenges. As a Data Scientist working at the intersection of machine learning and advanced analytics, you will help develop innovative products that enhance customer experiences. Our team values intellectual curiosity while maintaining sharp focus on bringing products to market. Successful candidates demonstrate responsiveness, adaptability, and thrive in our open, collaborative, entrepreneurial environment.

Working at the forefront of both academic and applied research, you will join a diverse team of scientists, engineers, and product managers to solve complex business and technology problems using scientific approaches. You will collaborate closely with other teams to implement innovative solutions and drive improvements.

At Amazon, we cultivate an inclusive culture through our Leadership Principles, which emphasize seeking diverse perspectives, continuous learning, and building trust. Our global community includes thirteen employee-led affinity groups with 40,000 members across 190 chapters, showcasing our commitment to embracing differences and fostering continuous learning through local, regional, and global programs.

We prioritize work-life balance, recognizing it as fundamental to long-term happiness and fulfillment. Our team is committed to supporting your career development through challenging projects, mentorship opportunities, and targeted training programs that help you reach your full potential.



Key job responsibilities
Key job responsibilities
* Deliver data analyses that optimize overall team process and guide decision-making
* Deep dive to understand source of anomalies across a variety of datasets including low-level sequencing read data
* Identify key metrics that are drivers to achieve team goals; work with senior stakeholders to refine your results
* Use modern statistical methods to highlight insights for predictive & generative ML models and assay process
* Perform correlation analysis, significance testing, and simulation on high- and low-fidelity datasets for various types of readouts
* Generate reports with tables and visualization that support operational cycle analysis and one-off POC experiments
* Collaborate with multi-disciplinary domain experts to support your findings and their experiments
* Write well-tested scripts that can be promoted by our software teams to production pipelines
* Learn about new statistical methods for our domain and adopt them in your work
* Work fluently in SQL and Python. Be skilled in generating compelling visualizations.

A day in the life
New data has just landed and promoted to our datalake. You load the data and verify it's overall integrity by visualizing variation across target subsets. You realize we may have made progress toward our goals and begin to test the validity of your nominal results. At midday you grab lunch with new coworkers and learn about their fields or weird interests (there are many). You generate visualizations for the entire dataset and perform significance tests that reinforce specific findings. You meet with peers in the afternoon to discuss your findings and breakdown the remaining tasks to finalize your group report!

About the team
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.