Data Scientist - Forecasting, Inc.
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  • Experience

    2-4 year
  • Salary

  • Location

    Seattle, WA, USA
  • Job Function

    Data Scientist
  • Industry

    Information Technology
  • Qualification

    Degree in Computer Engineering, Masters degree, Degree in Computer Science, Degree in Mathematics, Degree in Statistics, Degree in Physics, Degree in Economics

Key Skills

Java Programming, Design, Management, Python Programming, SQL, Machine learning techniques, MATLAB Programming, R Programming, Linux Operating system, Stata, Mathematics

Job Description

Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Forecasting team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using statistical methods. We develop cutting edge pipelines, build accurate s, and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.

We are building a new team to develop s and provide business insights on seller behavior on the Amazon Consumer platform. We will build s to produce forecasts of unit sales and revenue by seller segments and drive adoption of these forecasts by various teams within Amazon for financial and operations planning. We will provide insights on the impact of seller selection, product selection and fees on the long-term growth of the business, and provide recommendations to drive future growth of the seller platform.

This role will design systems and forecasting s that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's financial and operational planning. A successful candidate will be a problem solver who enjoys diving into , is excited by difficult ing challenges, and possesses strong communication skills to effectively interface between technical and business teams. As a on this team, you will collaborate directly with economists and statisticians to produce ing solutions, you will partner with software developers and engineers to build end-to-end pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business.

Key Responsibilities:

  • Implement statistical methods to solve specific business problems utilizing code (, R, , etc.).
  • Improve upon existing methodologies by developing new sources, testing enhancements, and fine-tuning parameters.
  • Directly contribute to the design and development of automated forecasting systems.
  • Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance.
  • Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.
  • Presenting critical in a format that is immediately useful to answer questions about the inputs and outputs of Forecasting systems and improving their performance.

    Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.


  • Bachelor's Degree
  • 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • 2 years working as a Data Scientist
  • MS in a discipline such as Statistics, Mathematics, Physics, Engineering, Computer Science or Economics.
  • 1+ years work experience in an analytical role involving extraction, analysis, and communication.
  • Proficiency in at least one statistical software package such as R, Stata, Matlab, or .
  • Experience with object-oriented programming languages.
  • Expertise using for acquiring and transforming .
  • Outstanding ing and statistical analysis skills.
  • Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research s, engineering teams and business audiences.


  • 2+ years of work experience in an analytical role involving extraction, analysis, and communication.
  • Experience building complex visualizations.
  • Experience working in command-line Linux environments.
  • Experience with causal inference, applied time series ing or machine learning forecasting applications.
  • Strong project management skills.
  • Ability to work on a diverse team or with a diverse range of coworkers.

Company Info., Inc., Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.

  • Industry
  • No. of Employees
  • Location
    Arlington, VA, USA; Seattle, WA, USA
  • Website
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