Data Scientist - Performance Profiling

Working at Amazon Robotics
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

Position Overview
The Amazon Robotics (AR) Virtual Systems Profiling team builds models, runs simulation experiments and delivers analyses that are central to understanding performance of the entire AR system, e.g. operational and software scaling characteristics, bottlenecks, robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.

We seek a talented and motivated engineer to tackle broad challenges in system-level analysis. You will work in a small team to quantify system performance at scale and to expand the breadth and depth of our analysis (e.g. increase the range of software components and warehouse processes covered by our models, develop our library of key performance indicators, construct experiments that efficiently root cause emergent behaviors). You will engage with growing teams of software development and warehouse design engineers to drive evolution of the AR system and of the simulation engine that supports our work.


Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

Flexibility
It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

Basic Qualifications

· Master's degree (or Bachelor's degree 3+ years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science
· 1+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
· 1+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
· Masters degree in Data Science, Statistics, Operations Research, or in highly quantitative field (e.g. Computer Science, Operations Research, Systems Engineering, Physics), or BS with 3 years of experience.
· Experience in predictive modeling, data science and analysis
· Programming experience in Python, R or equivalent
· Experience in data science and data analysis
· Experience giving data presentations with graphical or data visualization tools

Preferred Qualifications

· Comfortable in a Linux environment
· Experience with Amazon Web Services (AWS), e.g. DynamoDB, AuroraDB (MySQL), S3, SQS, SNS, EC2
· Interest in and experience with experimental design
· Background in applied statistics or machine learning
· Desire to pursue challenging questions through extensive operational and data analysis (experience to do data analysis, regression analysis)
· Demonstrated thoughtful written and verbal communication skills
· Ability to work on a diverse team or with a diverse range of coworkers

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 https://www.amazon.jobs/en/disability/us
We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.