Data Scientist, Amazon Robotics Sortation

Key responsibilities

• Developing predictive models and simulations to analyze complex, large‑scale datasets and uncover insights to improve customer experience, cost efficiency, capital investment effectiveness, and automation utilization.

• Creating compelling data visualizations that communicate end‑to‑end system performance and identify optimization opportunities.

• Establishing robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals.

• Collaborating cross‑functionally with engineering, operations, and business stakeholders to understand their needs, translate them into data‑driven projects, and deliver impactful results.

Day in the life

You will collaborate cross‑functionally with engineering teams, program managers, and leaders 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 highly innovative robotic technology. You will collaborate with Business Intelligence Engineers, Data Engineers, and Program Managers to define and deliver world‑class models and insights to shape the robotic technology landscape.

About the team

The Amazon Robotics Sortation 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 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 technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.

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 experience in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.

• 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.

• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

Benefits

• Medical, Dental, and Vision Coverage

• Maternity and Parental Leave Options

• Paid Time Off (PTO)

• 401(k) Plan

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

USA, MA, Boston – 136,000.00 – 184,000.00 USD annually

USA, MA, North Reading – 136,000.00 – 184,000.00 USD annually

USA, MA, Westboro – 136,000.00 – 184,000.00 USD annually