Senior Applied Scientist - Optimization, Fulfillment Planning and Execution Science - Fulfillment Optimization

Amazon Inc.; Asti; Ibrido; EUR 147.000 - 199.000; Tempo pieno

Descrizione del lavoro

Amazon's SCOT team seeks a Senior Applied Scientist in Optimization to design and deploy mathematical optimization and machine learning models for Fulfillment Planning and Execution. You will contribute to production-ready solutions across a global logistics network.

You will collaborate with product managers, researchers, and engineers to push the boundaries of optimization techniques and mentor junior scientists while delivering impact at scale.

Competenze

• 5+ years of applied research experience.
• PhD in related field (OR/Statistics/Math/CS).
• 5+ years of optimization (linear/nonlinear).
• Experience hiring and mentoring scientists.
• Experience programming in Java, C++, Python.

Mansioni

• Design, development and evaluation of innovative Math models for solving complex business problems.
• Research and apply latest Optimization techniques from academia and industry.
• Think about customers and how to improve the delivery experience.
• Use analytic techniques to create scalable solutions for business problems.
• Work with software engineering teams to deploy models in production at large scale.
• Technically lead and mentor other scientists in the team.
• Establish scalable, automated processes for large-scale data analyses, model development and validation.

Conoscenze

Java

C++

Python

Applied research

Mathematical optimization

Leadership

Problem solving

Formazione

PhD in OR/Stats/Math/CS

Descrizione del lavoro

Senior Applied Scientist - Optimization, Fulfillment Planning and Execution Science - Fulfillment Optimization

Job ID: 10559787 | Amazon.com Services LLC

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.

Key job responsibilities

As a Senior Applied Scientist, you will propose and deploy solutions that will likely draw from a range of scientific areas such as Optimization, machine learning, advanced statistical modeling, and graph models. You will 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, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in the area of Mathematical Optimization, and play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:

• Design, development and evaluation of highly innovative Math models for solving complex business problems.
• Research and apply the latest Optimization techniques and best practices from both academia and industry.
• Think about customers and how to improve the customer delivery experience.
• Use and analytical techniques to create scalable solutions for business problems.
• Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
• Technically lead and mentor other scientists in team.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

A day in the life

This is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within its logistics network including Fulfillment Centres, Air Stations, Sort Centres, Delivery Stations, and more. You will need to meet with many internal customers to understand their business and their challenges as you develop an effective solution to enable us to collectively scale. Our leadership is very interested in this effort so you will find lots of opportunities to get your ideas and plans in front of them for evaluation and alignment. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready mathematical optimization solutions. A successful candidate is 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. 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. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.

About the team

Fulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Operations Research and Machine Learning who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create solutions to solve those problems at scale.

Basic Qualifications

• 5+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 5+ years of industry or academic research experience
• Ph.D. in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field
• 5+ years of mathematics optimization such as linear programming and nonlinear optimization experience
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
• Knowledge of problem solving, algorithm design and complexity analysis

Preferred Qualifications

• Experience in building machine learning models for business application
• PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD or equivalent research experience and 10+ years of building machine learning models or developing algorithms for business application experience

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually