Research Scientist - Forecasting and Demand Planning

Job description

DESCRIPTION

Do you have a passion for consumers, brands, food and the desire to build something customers' love? If yes, we need somebody with your enthusiasm and skills to work as part of the Amazon Go. Do you see a clear path where others see roadblocks? Would you rather break the mold to do something right than settle for the status quo?

We are looking for a talented Research Scientist to join the Amazon Go Demand Planning team for the entire family of products. We develop sophisticated algorithms that involve learning from large amounts of past data, such as actual sales, product rotation, customer behaviors, merchandising activities, promotions, similar products, and product attributes, in order to forecast the demand for our product portfolio across all the selling channels.

You will have an opportunity to work on a mathematical problem, with a large element of unpredictability and interact with various of Amazon internal and external teams. You will analyze and process large amounts of data, develop new sophisticated algorithms and improve existing approaches based on statistical models, machine learning algorithms and big data solutions to generate multiple demand plans based on distributions of confidence so that we can provide the organization with a full assessment of opportunities and risks. These forecasts you build will be used to determine the level of investment in capital expenditures, 1P and 3P capacity, ordering ingredients, optimizing inventory allocations and determining financial performance.

You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with technical teams and systems. You will be responsible for researching, experimenting, and analyzing forecasting strategies and mathematical models. You will also be prototyping the implementations.

Key Responsibilities:
· Design and build the new forecasting modeling from scratch
· Process and analyze sales data; gather additional data sources that would improve model accuracy
· Analyze demand elasticity and develop algorithms for frequent rotate products
· Build mathematical models to represent demand forecasting at various levels across multiple channels
· Prototype these models by using high-level modeling languages such as R or in software languages such as Python
· Create, enhance, and maintain technical documentation, and present to other scientists and business leaders

Desired profile

BASIC QUALIFICATIONS

· Ph.D. in Machine Learning, Statistics, Applied Mathematics or a related quantitative field and 1+ years of industry experience, OR a Master's degree in the related fields with 3+ years of industry experience
· 1+ years' experience building, iterating and validating statistical models
· Strong working knowledge of data mining, machine learning, and analytics techniques.
· Fluency in R, Python or a similar modeling language and in SQL
· Proficiency in at least one modern programming language such as Java or C++
· Strong verbal and written communication