According to a recent study, the average salary for an Amazon data scientist is a whopping $158,000! That’s nearly double the national average for this profession. But what does it take to earn such a high salary at Amazon? Let’s take a look.
What are an Amazon data scientist’s job duties?
As an Amazon Data Scientist, you will be responsible for turning data into insights that help improve our products and services. You will work with business leaders to understand their needs and requirements, then use your coding skills to extract and analyze data that will provide valuable insights. You will also be responsible for developing data-driven models and algorithms to improve our decision-making process. In addition, you will also be responsible for communicating your findings to business leaders and other stakeholders.
What are the average salaries of Amazon data scientists?
Salaries for Amazon data scientists vary depending on their experience and location. Glassdoor, a company that provides salary data, reports that the average salary for an Amazon data scientist is $113,586 per year. However, salaries can range from $92,857 to $142,279 per year. The average salary for an Amazon data scientist in Seattle is $118,795 per year, while the average salary for an Amazon data scientist in New York is $127,875 per year.
The skills that Amazon data scientists need
There is a lot of talk about data science these days, and Amazon is no exception. In order to be a data scientist at Amazon, you need to have strong technical skills, as well as be able to effectively communicate with business stakeholders.
Some of the technical skills that Amazon data scientists need include:
- Advanced statistics and machine learning
- Programming languages such as R, Python, and SQL
- Data visualization
- Business acumen
In addition to strong technical skills, Amazon data scientists also need to be able to effectively communicate with business stakeholders. This includes being able to distill complex technical concepts into layman’s terms, as well as being able to effectively collaborate with others.
How long does it take to become an Amazon data scientist?
The average time it takes to become an Amazon data scientist is 4 years.
The Amazon data scientist salary by experience
There are many factors that play into how much money data scientists make. In this article, we’ll be focusing on one of the most important factors: experience.
According to Glassdoor, the national average salary for an Amazon data scientist is $116,100 per year. Entry-level positions start at $92,000 per year, while senior-level positions can command salaries upwards of $142,000 per year.
When we break down the Amazon data scientist salary by experience level, we see a slightly different story. According to Paysa, entry-level data scientists at Amazon make an average salary of $107,000 per year. Mid-level data scientists make an average of $118,000 per year, while senior-level data scientists make an average of $131,000 per year.
These numbers show that, in general, data scientists at Amazon can expect to see their salaries rise as they gain more experience. However, there is a lot of variation in salaries at each experience level, so it’s important to keep in mind that these are just averages.
What are the benefits of being an Amazon data scientist?
The benefits of being an Amazon data scientist are many and varied. Perhaps the most obvious benefit is the salary. Amazon data scientists earn an average salary of $100,000 per year, making them some of the highest-paid employees in the company. In addition to their salary, Amazon data scientists also receive a number of other benefits, including stock options, bonuses, and 401(k) contributions.
Another benefit of being an Amazon data scientist is the opportunity to work with some of the world’s largest and most data-rich companies. Amazon data scientists have access to petabytes of data and are responsible for extracting insights that can help improve the company’s products and services. Additionally, Amazon data scientists often work on projects that have a direct impact on the lives of Amazon customers. For example, they may work on projects that improve the recommendations engine used by Amazon shoppers or that help improve the accuracy of Amazon’s search results.
Lastly, working as an Amazon data scientist provides employees with the opportunity to work in a fast-paced and dynamic environment. Data scientists at Amazon are constantly pushed to think outside the box and come up with innovative solutions to difficult problems. This type of environment is perfect for those who thrive on challenge and are looking for an opportunity to continuously learn and grow.