Data Scientist, Robotics

3 weeks ago


Reading, Pennsylvania, United States Amazon Full time

About the Role

We are seeking a highly skilled Data Scientist to join our Amazon Robotics team. As a Data Scientist, you will be responsible for designing, implementing, and evaluating state-of-the-art solutions for never-before-solved problems.

Key Responsibilities

  • Collaborate with research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight our customers.
  • Quantify system performance at scale, and expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Evolving our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.

About the Team

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 Amazon's approach to robotic fulfillment.

What We Offer

We offer 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.

Basic Qualifications

  • 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
  • Master's degree in a quantitative field, or Bachelor's degree and 2+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience.
  • 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience.
  • 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
  • Experience in communicating technically, at a level appropriate for the audience.
  • Experience applying theoretical models in an applied environment.

Preferred Qualifications

  • Experience in a ML or data scientist role with a large technology company.
  • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
  • PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
  • 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.

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