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 youll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply innovative advances in robotics and software to solve realworld challenges that will transform our customers experiences in ways we cant even imagine 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) Software Research and Science team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire AR system. This includes operational and software scaling characteristics bottlenecks and robustness to chaos monkey stresses we inform critical engineering and business decisions about Amazons approach to robotic fulfillment.
We are seeking an enthusiastic Data Scientist to design and implement stateoftheart solutions for neverbeforesolved problems. The DS will collaborate closely with other research and robotics experts to design and run experiments research new algorithms and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. They will partner with technology and product leaders to solve business problems using scientific approaches. They will build new tools and invent business insights that surprise and delight our customers. They will work to quantify system performance at scale and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. They will work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. They will engage with software development teams and warehouse design engineers to drive the evolution of the AR system as well as 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 87000 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 (diversity) conferences. Amazons 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 isnt about which hours you spend at home or at work; its 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 well help you get there. Our business is growing fast and our people will grow with it.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
1 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
1 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/research scientist statistician or quantitative analyst in an internetbased company with complex and big data sources experience
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 3 years of professional or military experience
Knowledge of statistical packages and business intelligence tools such as SPSS SAS SPLUS or R
Experience with clustered data processing (e.g. Hadoop Spark Mapreduce and Hive)
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.