Data Scientist – Forecasting
Company Name:-
Amazon.com Services LLC
Job Location:-
Seattle, WA
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionBachelor’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 quantitative discipline such as Statistics, Mathematics, Physics, Engineering, Computer Science or Economics.
1+ years work experience in an analytical role involving data extraction, analysis, and communication.
Proficiency in at least one statistical software package such as R, Stata, Matlab, or Python.
Experience with object-oriented programming languages.
Expertise using SQL for acquiring and transforming data.
Outstanding quantitative modeling and statistical analysis skills.
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
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 data pipelines, build accurate predictive models, 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 predictive models and provide business insights on seller behavior on the Amazon Consumer platform.
We will build models 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
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