Description
The Amazon Demand Forecasting team is looking for a Research Scientist with a strong research and analytical background to join us. We develop sophisticated algorithms that involve learning from large amounts of data, such as prices, promotions, similar products, and a product's attributes, in order to forecast the demand of over 190 million products world-wide. These forecasts are used to automatically order more than $250 million worth of inventory weekly, establish labor plans for tens of thousands of employees, and predict the company's financial performance. The work is complex and important to Amazon. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
Key job responsibilities
Design, implement, and evaluate innovative optimization models, agents, and software prototypes
Contribute to Amazon's global science community through collaboration and publication of groundbreaking research
Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
Perform exploratory data analysis to identify business opportunities and develop a plan to address them
Utilizing code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and deep learning models
A day in the life
Your role will involve conducting innovative research and developing novel methodologies to address complex forecasting problems. You will analyze large-scale datasets, leveraging data mining and statistical analysis skills, and design cutting-edge models to drive advancements in demand forecasting. As a Research Scientist on our Demand Forecasting team, you will collaborate closely with scientists, engineers, and business teams to push the boundaries of machine learning and AI. You will be expected to communicate complex research findings and insights clearly to both technical and non-technical stakeholders, helping to shape strategic decisions. For scientists passionate about research and innovation in deep learning and AI, our team provides a dynamic and intellectually stimulating environment to make a significant impact on the field and Amazon's operations.
Basic Qualifications
PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Preferred Qualifications
Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
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 $212,800/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.
