How Much Does a Data Scientist Earn at Amazon?

Amazon Data Scientist

Data Scientist called the “sexiest” and “hottest” job of the 21st century. It was said by Harvard Business Review and Bloomberg. Data scientists are in huge demand in US – and earn the same high salaries. Read on to find out more about Amazon data scientist salaries.

Amazon is one of the most data-driven establishments in the world. From its essential retail business to its entertainment production and streaming services, including the Alexa virtual assistant, hardware department, cloud services department of Amazon Web Services (AWS) and subsidiaries like Whole Foods, Zappos and Audible, Amazon is a data generation and collection company. Giant relies heavily on data scientists to understand the information it has gathered.

It is therefore not surprising that his data scientists are well paid. According to the Salary Project, the average base salary for an Amazon data scientist is $ 127,000. With cash bonuses and stock options totalling around $ 185,000. And while Amazon is known to be more frugal than its competitors like Facebook and Apple regarding employee benefits, much of its appeal lies in its promise to work on products and services that directly affect hundreds of millions of people. Customers all over the world.

 What are the different roles of data scientists at Amazon?

Amazon data scientists fulfil different roles depending on the team they’ve joined. While the projects they work on can differ widely, business data scientists have several things in common.

Most data scientists working at Amazon have backgrounds in computer science, statistics, math, or a related field. You are proficient in programming and scripting languages ​​such as Python, SQL and Java and have expertise in data analysis and statistical analysis. After all, they have an understanding of machine learning algorithms and artificial intelligence. There is room for specialization within every Amazon team. For example:

Data scientists working on Alexa may require a doctorate. And specific knowledge of natural language processing and information recovery to train AI to process and understand verbal commands in multiple languages.

A data scientist working on demand forecasting must develop sophisticated algorithms that involve learning large amounts of data. Such as promotions, prices, similar products, and product attributes. That is to predict demand for more than 190M products sold on around the globe.

And a data scientist employed on Amazon Web Services will help AWS customers meet their business needs by building ML models. Current job postings show that working with data engineers, software engineers, information architects, designers, and marketers is also a big part of Amazon’s data scientist role.

Amazon Data Scientist Salary Levels

The average salary range for Amazon Data Scientists depends on years and experience level, skill level, education and location. Average total compensation can also vary widely depending on whether someone qualifies for annual bonuses or stock awards.

Like many other tech companies, Amazon uses a levelling system to set rewards and promotions. Although the company does not publicly share the specifics of this system, former and current employees have found that the letter “L” combined with a number indicates the level of the data scientist in the company.

Interns: Amazon interns are among the highest-paid in the industry, according to Glassdoor, earning $ 7,725 / month during their summer internship. In addition, the trainees receive additional benefits such as housing benefits and subsidized public transport.

L4: L4s are reserved for beginners in the data scientist field and typically have a bachelor’s graduation and less than four years of experience.

L5: Intermediate level data scientist, L5s can also hold the title Data Scientist II. As a rule, they have four to seven years of professional experience.

L6: a senior position in data science, many data scientists with advanced degrees, such as PhD students, start their careers at L6. This level also includes many managers.

L7: L7 candidates are considered the leading data scientists and typically have a decade or more experience and hold significant leadership positions.

Starting salary as a data scientist at Amazon

With internships and roles for those actively pursuing graduate studies, entry-level data science positions typically need skill in scripting languages such as Python, Java, or PHP and familiarity with SQL.

Additionally, applicants must demonstrate that they have experience solving analytical problems using quantitative approaches while pursuing Amazon’s 14 Principles of Leadership. The usual starting salary for a data scientist on Amazon is around $ 114,357, with additional cash and stock bonuses averaging $ 23,000.

Senior Data Scientist salary at Amazon

Senior-level data science positions that are not management roles require a bachelor’s degree in computer science, data science, statistics, math, engineering, economics, or a related field. Depending on the specialization, a master’s or a doctorate. For example, in machine learning, computer vision natural language processing may be required. In addition to the required knowledge of coding and scripting languages ​​and proven analytical experience.

The average salary for a senior data scientist on Amazon is around $ 180,000. With additional bonuses in cash and stocks averaging $ 40,000.

Stock options on Amazon

Amazon rewards its full-time employees outside of the warehouse with cash and stock rewards. They are based on employee performance as determined by quarterly reviews.

Eligible employees receive limited units of stock that will vest over time. Hence, the longer an employee stays with the corporation sufficiently high, the more likely their share compensation will exceed their base salary.

Advantages at Amazon

  • In addition to generous basic salaries and bonuses, Amazon employees also enjoy the following benefits:
  • Fully comprehensive insurance
  • A 401K plan with contributions accordingly
  • Six weeks of parental leave. Birth mothers take an additional four weeks before the birth and ten weeks after the birth
  • Adoption Aid reimburses $ 5,000 of the cost of adopting a child
  • employee discounts
  • Free advice and mediation
  • Reduced prices for a home, tenant, car and pet insurance
  • Flexible accounts for health and care costs
  • Benefits of Infertility

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