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Description

Amazon is looking for an outstanding Senior Research Scientist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection to determine which products Amazon offers in our fastest delivery programs. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection.

As an Senior Research Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting.

Key job responsibilities

You will be an end-to-end owner for the projects you support. Responsibilities include:

• Understanding business requirements and existing challenges and map them to the right scientific solution;

• Designing effective, scalable, and achievable solutions to key business problems;

• Developing the right set of metrics to evaluate efficacy of your models and solutions;

• Prototyping and analyzing new models and business logic;

• Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions;

• Designing experiments to measure pilot programs and support scaling-up effort;

• Communicating, both written and verbally, with both technical and business audiences throughout each project;

• Publishing findings in internal and/or external conferences and interfacing with the scientific community;

• Mentoring and developing the scientist community across the organization

Basic Qualifications

• 5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience

• PhD, or Master's degree and 5+ years of quantitative field research experience

• Experience communicating qualitative research methods and findings to non-qualitative researchers

• 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

Preferred Qualifications

• Experience converting research studies into tangible real-world changes

• Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)

• Experience with causal inference

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 $143,300/year in our lowest geographic market up to $247,600/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.