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Amazon

Data Scientist Amazon
Seattle, WA

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About Amazon

Job Description

The North American Consumer Recruitment and Development team is looking for a Data Scientist to lead us on our mission to recruit all the brands in the world to sell on Amazon, while empowering them to grow their business and provide a great customer experience. Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. To drive this unprecedented scale, our entrepreneurial team of sales reps, account managers, product managers, and software engineers continuously invent new ways to scale and raise the bar for our selling partners through automation.

As a successful data scientist in our Consumer Recruitment and Development team, you need to understand Selling Partner domain knowledge and the meanings of data. You will expose and measure current Recruitment and Development performance. You will identify specific and actionable opportunities to solve existing business problems, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced quantitative techniques and data visualization for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.

Major responsibilities include:

Translate / Interpret:

* Translate ambiguous business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies.

Measure / Quantify/Expand

a. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

b. Analyze historical data to identify trends and support decision making.

c. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.

d. Provide requirements to develop analytic capabilities, platforms, and pipelines.

e. Apply statistical or machine learning knowledge to specific business problems and data.

Explore / Enlighten

a. Formalize assumptions, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.

b. Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.

Make Decisions or Recommendations

a. Build decision-making models and propose solution for the business problem you defined

b. Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.

Utilize code (python, R or other statistical software) for statistical data analyzing and modeling algorithms

About Amazon

Amazon is an electronic commerce and cloud computing company.

Headquarters
Size
630600 employees
Amazon

410 Terry Ave N

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