Are you inspired by innovation? Is teamwork-based problem-solving part of your core? Do you find the idea of seeing the bigger picture through your work appealing? If you answered yes to any of these, you'd be a perfect fit at Amazon Robotics. We are an intelligent team of doers who work passionately, applying cutting-edge robotics and software advancements to solve real-world challenges. These transformations enhance our customers' experiences in ways we can't yet envision. We make new discoveries every day. At Amazon Robotics, we provide the tools and support you need to innovate with us in ways that are rewarding, satisfying, and enjoyable.
Amazon Robotics, a wholly owned subsidiary of Amazon.com, enhances a smarter, faster, and more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using a variety of robotic technologies, including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and understanding of semantic commands. Amazon Robotics is committed to continuous research and development to explore new opportunities and expand its product line.
We, at Amazon Robotics, are looking for uniquely talented and motivated data scientists to join our Global Services and Support (GSS) Tools Team. The team concentrates on improving the supportability of Amazon Robotics solutions through automation, with a single-minded goal of simplifying the issue resolution process for our global network of fulfillment centers. Candidates will closely collaborate with software engineers, operations teams in fulfillment centers, system engineers, and product managers in the development, qualification, documentation, and deployment of operational models, metrics, and data-driven dashboards. Hence, candidates must have the technical competence to quickly learn new BI tools and programming languages for interfacing with different data access layers for metric calculations, data mining, and data modeling.
Key Job Responsibilities
Even if you don't meet all the criteria listed above, we'd be more than happy to hear from you. At Amazon, we value individuals with unique backgrounds, experiences, and skills. If you feel passionately about this role and are eager to make a global impact, please apply!
Amazon extends a myriad of benefits for you and your eligible family members, including domestic partners and their children. Benefits may vary with location, regular work hours, length of employment, and job status, such as temporary or seasonal employment. Usually, regular, full-time employees are entitled to:
1. Health, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
We're open to hiring candidates who are able to work in one of the following locations:
Boston, MA, USA
Basic Qualifications
- BS/MS degree in Engineering, Mathematics, Statistics, Operations Research, Information Systems, Business Intelligence or a related technical field
- Familiarity with best practices in data analytics and reporting, data integrity, data analysis, data mining, and experimental design documentation
- Proficiency in writing ANSI SQL code for creating metrics and dashboards
- Experience working with Business Intelligence platforms like Tableau or PowerBI
- Experience with data analysis/statistical tools such as Python, R, SAS, or Matlab
- Comfort dealing with ambiguity and progressing amidst uncertainty
- Proven success as an independent performer and contributor within a high-performing team, exhibiting the ability to dive deep and develop innovative solutions for process challenges
Preferred Qualifications
- MS in Data Science, Statistics, Operations Research, or in a highly quantitative field (e.g., Computer Science, Operations Research, Systems Engineering, Physics), or BS along with 3 years of experience
Amazon is dedicated to maintaining a diverse and inclusive workplace. We are an equal opportunity employer, and we don't discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. Individuals with disabilities wishing to request accommodations can visit https://www.amazon.jobs/en/disability/us.