Job Description

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Description

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of doers that work passionately to apply in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

Description

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of doers that work passionately to apply in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

Position Overview

The Amazon Robotics (AR) Simulation organization builds simulation models and conduct simulation experiments to support a broad range of robotic solutions. We use the simulation-first approach to inform critical engineering and business decisions for the AR systems.

We're looking for an experienced, self-directed, senior Data Scientist with a strong background in coding, statistical, and data mining techniques. You should have excellent problem-solving skills, strong communication skills, the ability to work autonomously, and an enthusiasm for leveraging data to drive meaningful business outcomes.

Key job responsibilities

As a Data Scientist on the team, you will play a crucial role in driving data-powered decision making. Your main focus will be

• Collecting, creating and manipulating large, complex datasets to produce validated simulation inputs
• Designing simulation experiments by considering the optimization targets, variable spaces and computational cost
• Querying simulation outputs, generating metrics, and establishing robust data analysis frameworks to quantify the impact of the solutions
• Creating compelling data visualizations to communicate system performance and identify improvement areas
• Producing reports that suggests tradeoffs and informs decisions
• Staying up to date with the best data tools to automate data workflows
• Collaborating cross-functionally with software developers, domain experts, scientists and business stakeholders to understand the business goals, translate them into data-drive projects and deliver impactful results.

A day in the life

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

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

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

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon.com Services LLC

Job ID: A2997581

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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Job Tags

Full time, Temporary work, Seasonal work,

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