Applied Scientist II, Sort Tech Science

Amazon; Bellevue (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

An established industry player is seeking a talented scientist to join their Sort Tech Science team, focusing on automating and optimizing sortation processes. This role involves collaborating with product managers and scientists to analyze big data, build data pipelines, and develop models that enhance operational efficiency. You'll have the opportunity to influence product strategies and work with advanced technologies in a dynamic environment. If you're passionate about applying machine learning and operations research to real-world logistics challenges, this is the perfect opportunity to make a significant impact.

Qualifications

• 3+ years of experience in building models for business applications.
• Experience in patents or publications at top-tier conferences.

Responsibilities

• Analyze big data and build end-to-end data pipelines.
• Communicate results and provide scientific guidance to the business.

Skills

Model Building

Programming (Java, C++, Python)

Algorithms and Data Structures

Data Mining

Numerical Optimization

Parallel and Distributed Computing

Education

PhD in Computer Science or related field

Master's degree in Computer Science or related field

Job description

Job ID: 2936199 | Amazon.com Services LLC

Sort Tech builds automated and human-managed configuration and work orchestration systems that dictate sortation of packages in facilities (buildings). Our primary goal is to get all packages on the right truck before it departs. By doing so, we help Amazon meet the customer promise, or delivery estimate, which is the time we told the customer to expect their order. When we fail to get the package on the truck on time, then we likely will fail to meet that promise. A very important metric for Sort Tech is delivery estimate accuracy (DEA), and sometimes DEA misses can be attributed to failures by the sortation in the dock. Sort Tech owns the software systems that work in concert with the dock processes to prevent these failures.

Sort Tech Science (STS) applies operations research and machine learning science to under-the-roof (UTR) logistics of the sortation of packages to containers, and the movement of those containers to outbound trailers. These problems are constantly evolving with technology as these processes become more automated through robotics. STS scientists work closely with the Sort Tech Product and Development teams to drive projects from idea to implementation. STS scientists play an integral role in developing analysis approaches, strategies, models, and algorithms that improve the efficiency and cost effectiveness of our global network of sortation facilities.

Key job responsibilities

You will work closely with product managers, research scientists, applied scientists, business/operations leaders, and technical leadership to build capabilities that transform our sortation network. This includes analyzing big data, building end-to-end data pipelines, prototype optimization/ML/simulation models, and launch production capabilities. You will have exposure to senior leadership as you communicate results and provide scientific guidance to the business. Your insights will be a key influencer of our product strategy and roadmap and your experimental research will inform our future investment areas.

About the team

Sort Tech Science (STS) was formed in late 2020 to support Amazon's under-the-roof sortation science needs. As Sort Tech continues its automation to optimization journey, STS is a key partner in this journey and is comprised of applied scientists and an Amazon Scholar.

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

• PhD
• Experience deploying models and algorithms in production and working with the production code base.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 here for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit here. This position will remain posted until filled. Applicants should apply via our internal or external career site.