Applied Scientist - Last Mile Delivery Optimization

Amazon India Limited; Bengaluru; In loco; INR 3.000.000 - 5.500.000; Tempo pieno

Descrizione del lavoro

Amazon India Limited in Bengaluru seeks an Applied Scientist II for the Last Mile Science team to design and optimize complex delivery network planning. You will develop models and production-ready solutions to improve capacity, routing, and DSP planning, leveraging operations research and machine learning techniques.

The role requires strong research experience, data mining, and software development experience, with mentorship responsibilities for junior scientists in a fast-paced environment.

Competenze

• 3+ years of building models for business applications.
• Experience in patents or publications at top-tier conferences or journals.
• Programming experience in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Mansioni

• Develop solutions to better manage and optimize delivery capacity in the last mile network.
• Identify and analyze opportunities to improve existing algorithms and optimize system policies across external DSPs and internal planning.
• Translate high-level business requirements into mathematical models and contribute to production systems.
• Mine and analyze data, using programming and statistical analysis tools as needed.
• Coach/mentor junior scientists in the team.

Conoscenze

Java

C++

Python

Algorithms

Data mining

Numerical optimization

Parallel computing

Distributed computing

High-performance computing

Unix/Linux

Strumenti

Unix/Linux

Java

Python

Descrizione del lavoro

Applied Scientist II, Last Mile Science Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.

Key job responsibilities

Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As a senior scientist, you will also help coach/mentor junior scientists in the team.

Basic Qualifications

• 3+ years of building models for business application 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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