Applied Scientists in CBA work collaboratively with other Scientists and Engineers across teams to build causal and machine learning models to support business decision making. You will contribute to and maintain a highly scalable data and modeling pipeline infrastructure, and also work closely with business stakeholders to translate requirements into ML and software products. We are looking for individuals with a strong interest in learning and researching new methodologies to maximize customer impact in a highly ambiguous and challenging problem space. Prior experience with building machine learning and AI systems is required, as is a solid understanding of the fundamentals of statistics and standard methods in ML and deep learning. Candidates should possess strong software engineering skills and several years of industry experience. Experience with distributed computing environments, AWS, Spark/PySpark, and prior domain experience in causal inference and experimentation is highly preferred.
A day in the life
Inclusive Team Culture
Here at Stores, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Diverse Experiences
We value diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
About the team
We are a team dedicated to delivering transformative, science-driven agentic big data processing experiences for Amazon customers and having fun doing so. Our leadership team fosters an inclusive team culture and encourages work-life balance to bring out the best in each team member. Collaboration and mentorship are key tenets of our fabric. We are a growing team dedicated to supporting new members achieve their aspirations.
