Sr. Applied Scientist, Last Mile Science

Amazon; Hyderabad; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Amazon is seeking an experienced Sr. Applied Scientist for Last Mile Science in Hyderabad to optimize delivery performance using data-driven methods.

You will own models, run experiments, and collaborate with operations and product teams to drive scalable solutions that improve cost efficiency and on-time delivery. Ideal candidates hold a PhD or equivalent in operations research, statistics, engineering or related fields and possess strong coding skills (C/C++, Python, Java, Perl).

Qualifications

• 5+ years of building ML models or developing algorithms for business applications.
• PhD in engineering, technology, computer science, ML, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's + 5+ years of ML model experience.
• Knowledge of programming languages such as C/C++, Python, Java or Perl.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Develop input and assumptions based preexisting models to estimate costs and savings opportunities.
• Create metrics to measure business performance and identify root causes and trends.
• Manage multiple projects simultaneously.
• Collaborate with technology teams and product managers to develop new tools and systems.
• Communicate with internal stakeholders and external audiences.

Skills

Machine learning

Deep learning

C/C++

Python

Java

Perl

Education

PhD in engineering/related quantitative field

Master's + 5+ years ML exp

Job description

Sr. Applied Scientist, Last Mile Science

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner.

We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.

Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.

This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.

Responsibilities

• Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
• Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
• Managing multiple projects simultaneously
• Working with technology teams and product managers to develop new tools and systems to support the growth of the business
• Communicating with and supporting various internal stakeholders and external audiences

Basic Qualifications

• 5+ years of building machine learning models or developing algorithms for business application experience
• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 5+ years of building machine learning models for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

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