Amazon Robotics - Data Scientist Co-op - Fall 2023 (July - December)

Key Skills

AI Robotic systems, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), AWS, AWS Aurora, Business Intelligence, Data Analysis, Data Mining, Data science techniques, Design, DynamoDB, Effective communication skills, Machine learning techniques, MySQL, OpenCV, Operations, Python Programming, R Programming, SQL, Statistics

Job Description

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.

This role is a 6 month co-op to join AR full time (40 hours/week) from July-December 2023. Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!

The campus provides a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities. No remote option, this is an Onsite (3 days a week on site) role.

BASIC QUALIFICATIONS

• Currently pursuing a MS in Data Science, Statistics, Operations Research, or in highly quantitative field (e.g. Computer Science, Operations Research, Systems Engineering, Physics) with at least 3 years of work or past intern experience.
• Must have at least one semester/term/quarter of school left to complete after the end of the co-op
• Programming experience in Python, R or equivalent
• Background in applied statistics or machine learning

PREFERRED QUALIFICATIONS

• Experience in predictive modeling, data science and analysis
• Demonstrated experience in data science and data analysis
• Desire to pursue challenging questions through extensive operational and data analysis (experience to do data analysis, regression analysis)
• Demonstrated outstanding written and verbal communication skills
• 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
• Experience with creative problem solving and getting things done
• Experience with ROS, OpenCV, or PCL