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Data Scientist II, Amazon Business

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Amazon

Jan 30

Applications are closed

  • Job
    Full-time
    Junior & Mid Level
  • Data
    Software Engineering
  • Hyderabad, +1

Requirements

  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company

Responsibilities

  • - Build new and enhance existing ML models to optimize customer experience
  • - Identify data requirements
  • - Build methodology and tools that are statistically grounded
  • - Design new solutions to solve complex problems using machine learning (ML) and natural language processing (NLP) techniques to improve our customers’ experience when using Amazon Business

FAQs

What is the minimum experience required for the Data Scientist II position?

The minimum experience required is 2+ years of data scientist experience.

What technical skills are necessary for applicants to this role?

Applicants need 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).

What type of modeling and analysis experience is preferred for this position?

Experience with machine learning/statistical modeling data analysis tools and techniques, as well as the parameters that affect their performance, is preferred.

Is experience in applying theoretical models in a practical environment required?

Yes, experience in applying theoretical models in an applied environment is required.

Will I be working with other teams in this role?

Yes, you will collaborate with Business Intelligence Engineers, Financial Analysts, Product Managers, Software Engineers, Data Engineers, and other Data Scientists.

What skills are important for success in this job?

A successful candidate should have a bias for action, leadership skills, and the ability to build and manage medium-scale modeling projects, as well as a strong foundation in statistical methodologies.

Are there specific programming languages that candidates should be familiar with?

Yes, experience in Python, Perl, or another scripting language is required.

Does the company encourage continuous learning and development?

Yes, we look for individuals who show a desire to develop themselves, their colleagues, and their career.

In what regions does Amazon Business operate?

Amazon Business operates in the US, EU5, Canada, Japan, and India, with continual expansion into new countries.

How does Amazon view scientific innovation in relation to customer experience?

Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company, enabling impactful solutions at scale.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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