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DescriptionAre you excited about customer-facing research and reinventing the way people think about long-held assumptions? At Amazon, we are constantly inventing and re-inventing to be the most customer-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.Our organization leads the innovation of Amazon’s ultra-fast grocery forecasting and planning initiatives. We are creating a cutting-edge forecasting platform to keep our customers delighted and our business healthy. We forecast consumer demand, labor and transportation, revenue, and more across all levels of a complex and interconnected network. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems.The ideal candidate will be responsible for quantitative data analysis, designing and building models and prototypes, and developing state-of-the-art optimization algorithms at scale. This team plays a significant role in various stages of the innovation pipeline from identifying business needs, developing new models, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management, operations, retail and finance.As a senior member of the research team, you will play an integral part on our Forecasting and Planning team with the following technical and leadership responsibilities:
Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements
Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization
Develop scalable forecasting models to best predict trends in existing and new areas of our network
Lead our research initiative to begin taking advantage of the network structure of our data to both improve forecasts and ensure they're internally consistent
Create prototypes and performance test devised solutions
Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers
Work closely with engineers to integrate prototypes into production system
Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features
Mentor team members for their career development and growth
Present business cases and document models, analyses, and their results in order to influence important decisions
We are open to hiring candidates to work out of one of the following locations:Cupertino, CA, USA | Seattle, WA, USABasic Qualifications
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 3+ years of applied research experience
Experience programming in Java, C, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
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 $260,000/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. Applicants should apply via our internal or external career site.
