Applied Scientist - Operations Research and Analytics

Amazon India Limited; Bengaluru; On-site; INR 1,600,000 - 2,300,000; Full time

Job summary

Amazon India Limited in Bengaluru is seeking an Applied Scientist II for Last Mile Science to tackle delivery cost and speed challenges with data-driven methods. You will build models, develop scalable tools, and work with product managers and technology teams to improve metrics and operations across the delivery network.

Ideal candidates hold a PhD or Master’s with 4+ years in CS/CE/ML, have experience publishing in top venues, and are proficient in Java, C++, or Python; Unix/Linux experience

Qualifications

• 3+ years of building models for business applications.
• PhD or Master with 4+ years in CS, CE, ML or related field.
• Experience with patents or publications in top-tier venues.
• Proficiency in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Develop input and assumptions based models to estimate costs and savings for varying network growth and operations.
• Create metrics to measure performance, identify root causes and trends, prescribe actions.
• Manage multiple projects simultaneously.
• Collaborate with technology teams and product managers to develop tools and systems for growth.
• Communicate with internal stakeholders and external audiences.

Skills

Java

C++

Python

Algorithms & data structures

Numerical optimization

Education

PhD in OR/Statistics/Engineering/SC

Master + 4+ years in CS/CE/ML

Tools

Unix/Linux

Professional software development

Job description

Applied Scientist II, Last Mile Science Description 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, 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. 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

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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