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Entry Level Amazon Data Science Jobs (NOW HIRING)

... Amazon's financial forecasting through TrendCast, an innovative, automated, science-based top-down ... We are seeking a strong Data Scientist II to drive the technical strategy for these advanced ...

Amazon Web Services, Inc. Position: Data Scientist II - AMZ27351.1 Location: San Francisco, CA Multiple Positions Available: Design and implement scalable and reliable approaches to support or ...

... Amazon's financial forecasting through TrendCast, an innovative, automated, science-based top-down ... We are seeking a strong Data Scientist II to drive the technical strategy for these advanced ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

For Data Scientists/Machine learning roles: * Python * Django * Deep Learning * NLP Benefits of ... Our Candidates always get projects with well-known IT firms like Google Apple, PayPal Amazon, etc ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

... data from Amazon's operational environments You'll work closely with software engineers to take ... Within WHS, our technology team builds the science and engineering capabilities that power Amazon ...

... data from Amazon's operational environments You'll work closely with software engineers to take ... Within WHS, our technology team builds the science and engineering capabilities that power Amazon ...

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Entry Level Amazon Data Science information

What is the difference between Entry Level Amazon Data Science vs Entry Level Amazon Data Engineering?

AspectEntry Level Amazon Data ScienceEntry Level Amazon Data Engineering
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python, R skillsBachelor's in Computer Science, Software Engineering, or related; SQL, Python, Spark skills
Work EnvironmentAnalyzing data, building models, predictive analyticsBuilding data pipelines, managing data infrastructure
Employer & Industry UsageUsed across Amazon for insights, recommendations, customer behaviorSupports data infrastructure, ETL processes, data storage

Entry Level Amazon Data Science focuses on analyzing data and creating models to inform business decisions, while Entry Level Amazon Data Engineering involves building and maintaining data pipelines and infrastructure. Both roles require technical skills but differ in their core responsibilities and daily tasks.

What are some common challenges faced by entry-level data scientists at Amazon, and how can they be addressed?

Entry-level data scientists at Amazon often encounter challenges such as working with large-scale, complex datasets and adapting to the fast-paced, results-driven environment. Navigating Amazon's proprietary tools and understanding the business context behind data projects can also be daunting at first. To overcome these challenges, new hires are encouraged to actively seek guidance from mentors, participate in team knowledge-sharing sessions, and invest time in learning Amazon's data infrastructure and workflows. Collaboration with cross-functional teams is frequent, so developing strong communication skills and a willingness to ask questions can significantly ease the transition and lead to early success.

What are the key skills and qualifications needed to thrive as an Entry Level Amazon Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist at Amazon, you typically need a strong foundation in statistics, data analysis, and programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and languages such as Python, SQL, AWS, and machine learning libraries, along with experience using data visualization platforms, is highly valued. Strong problem-solving abilities, communication skills, and the ability to collaborate across teams set top candidates apart. These skills are essential to extract actionable insights from large datasets, drive data-driven decisions, and contribute effectively to Amazon’s innovative environment.

What is an entry level Amazon data science job?

An entry level Amazon data science job typically involves analyzing large datasets, building data models, and generating insights to help Amazon improve its products and services. Employees in these roles often work with teams of data scientists, engineers, and business stakeholders to solve real-world business problems. Key responsibilities may include cleaning and organizing data, using statistical and machine learning techniques, and creating visualizations to communicate findings. Entry-level positions usually require a background in statistics, computer science, or a related field, along with proficiency in programming languages like Python or R.
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What cities are hiring for Entry Level Amazon Data Science jobs? Cities with the most Entry Level Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
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What job categories do people searching Entry Level Amazon Data Science jobs look for? The top searched job categories for Entry Level Amazon Data Science jobs are:
Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering

Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering

Amazon

Bellevue, WA • On-site

Full-time

Posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon's Last Mile Simulation and Analytics Team is seeking a Data Scientist to help design and optimize the world's most complex delivery network. You'll partner with process engineers, design engineers, simulation scientists, and innovation teams to solve high-impact problems across both greenfield and brownfield initiatives.
In this role, you'll own the Data Science/ML roadmap-developing statistical and machine learning models, designing global experiments, and discovering new ways to enhance the customer experience. You'll translate ambiguous business challenges into mathematical models, contribute to discrete event simulations, and deliver solutions that scale

Success requires thriving in a fast-paced, collaborative environment while aligning research with Amazon's strategic priorities.
Key job responsibilities
Design and execute large-scale experiments to uncover insights from complex datasets
Build scalable, automated pipelines for data analysis, model development, validation, and deployment
Develop advanced ML solutions including regression, clustering, simulation, neural networks, and optimization algorithms
Partner with cross-functional teams to implement data-driven strategies and measure impact
Validate findings against alternative approaches and key performance indicators
Build stakeholder relationships to drive improvements and prioritize customer needs


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US