Data Scientist, Robotic Storage Analytics & Data Science - Amazon : Job Details

Data Scientist, Robotic Storage Analytics & Data Science

Amazon

Job Location : San Diego,CA, USA

Posted on : 2025-05-05T13:19:11Z

Job Description :
Data Scientist, Robotic Storage Analytics & Data Science

Job ID: 2884518 | Amazon.com Services LLC

You will collaborate cross-functionally with engineering teams and program managers throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of new robotic technologies. You will collaborate with Data Engineers, Software, Hardware, and Program Managers to define and deliver world class robotics technologies, analytics tools, and insights to shape the robotic technology landscape.

We are looking for an enthusiastic data science professional with a passion for delivering business influencing analysis, papers, and recommendations to complex and ambiguous problems. A practiced data scientist, who uses data engineering, statistics, data visualization, and data science to influence decision making in cross-functional organizations. We are seeking an individual who can think holistically through compound problems to understand how systems work together to define and execute projects which drive improvements to robotic architecture or design.

A day in the life

In this role, you'll support new technologies looking for decision-making support and deep root cause analysis. These technologies will be in alpha/beta phases and have a start-up mentality of heavy Bias for Action, Ownership, and Customer Obsession.

BASIC QUALIFICATIONS
  • 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
  • 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
  • Experience applying theoretical models in an applied environment
  • PREFERRED QUALIFICATIONS
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
  • 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.

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