What are the responsibilities and job description for the Data Scientist, Robotic Storage Analytics & Data Science position at Lensa?
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Description
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 scientists, who uses data engineering, statistics, data visualization, and data science to influence choice selection 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.
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, full-time employees include:
About The Team
The Amazon Robotics Storage Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of fulfillment warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics Storage technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods are inclusive of design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.
Basic Qualifications
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Description
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 scientists, who uses data engineering, statistics, data visualization, and data science to influence choice selection 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.
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, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
About The Team
The Amazon Robotics Storage Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of fulfillment warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics Storage technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods are inclusive of design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.
Basic Qualifications
- 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
- 1 years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3 years of professional or military experience
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
