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Entry Level Amazon Data Science Jobs in New York

Focus Camera LLC.

Jr Data Scientist

Brooklyn, NY · On-site

$70K - $85K/yr

... as Amazon, Best Buy, and Walmart. Role Overview: The Data Science Team supports the company's ecommerce platforms and adjacent teams by managing advertising campaigns and ensuring high quality ...

Amazon

Manager, Analytics (ADBL191)

Newark, NJ · On-site

$109K - $185K/yr

Develop Amazon-scale data pipelines using AWS. Contribute to the growth of the Audible Insights Org ... Science, or a directly related field plus one (1) year of experience as an Analytics Manager ...

Amazon

Professional Services III AMZ13646.13

New York, NY · On-site

$169K - $228K/yr

Amazon Web Services, Inc. Position: Professional Services III AMZ13646.13 (multiple positions ... Data Scientists and Data Engineers. 4. Collaborate with our Data Scientists to deliver ground ...

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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.
What are the most commonly searched types of Amazon Data Science jobs in New York? The most popular types of Amazon Data Science jobs in New York are:
What are popular job titles related to Entry Level Amazon Data Science jobs in New York? For Entry Level Amazon Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Amazon Data Science jobs in New York look for? The top searched job categories for Entry Level Amazon Data Science jobs in New York are:
Entry Level Amazon Data Science jobs near you
Infographic showing various Entry Level Amazon Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Applied Scientist, Ads Measurement Science

Amazon

New York, NY • On-site

Full-time

Re-posted 21 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,069 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests.

We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.
Key job responsibilities
- Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
- Disambiguate problems to propose clear evaluation frameworks and success criteria
- Work autonomously and write high quality technical documents
- Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
- Partner closely with other scientists to deliver large, multi-faceted technical projects
- Share and publish works with the broader scientific community through meetings and conferences
- Communicate clearly to both technical and non-technical audiences
- Contribute new ideas that shape the direction of the team's work
- Mentor more junior scientists and participate in the hiring process
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds

We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

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

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