Applied Scientist – Delivery Experience, Delivery Experience AI Team Full-time

Why this job is awesome?

– This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.

– MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.

– We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.

Do you want to join an innovative team of scientists and engineers who use advanced machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site?

Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?

Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?

Do you like to innovate and simplify?

If yes, then you may be a great fit to join the Delivery Experience Machine Learning team.

Major responsibilities:

– Work closely with business teams to identify business and science opportunities for providing the best delivery experience on all Amazon-owned sites

– Analyze a large amount of historical data to detect patterns, analyze trends and identify correlations and causalities

– Innovate, design, develop and evaluate machine learning models to solve business problems and improve customer experience

– Work closely with software engineering teams to establish automated, efficient and scalable processes for data collection, retention and analysis as well as model development, validation, deployment and maintenance

Key job responsibilities

Key job responsibilities:

– Work with business owners to understand business goals, requirements and use cases

– Map abstract business goals and requirements to well-defined science projects with executable plans and milestones

– Work with engineers to collect data in different formats from various sources

– Use existing platforms and tools or write codes to perform statistical data analysis

– Create machine learning prototypes to evaluate feasibilities of approaches, gain insights and drive decisions

– Design and apply (mathematical formulation and coding required) machine learning models (supervised, unsupervised, reinforcement learning, casual inference and uplift, etc.) to solve business problems

– Evaluate, analyze and interpret model results, and further improve model performance

– Work with software engineers to deploy and scale science work on production

– Communicate with stakeholders on project progress and results both orally and in writing

– Share findings and learnings with teams and internal science community

– Mentor junior scientists to help them grow

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

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 $222,200/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.