Data Scientist II, Enterprise Engineering

Amazon

A global technology company focused on e-commerce, cloud computing, artificial intelligence, and digital streaming.

Seattle, WA, USA • Austin, TX, USA

$125,500 - $212,800

Machine Learning

Mid-Level Software Engineer

In-Person

3+ years of experience

AI · Enterprise SaaS

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Description For Data Scientist II, Enterprise Engineering

Amazon's Enterprise Engineering team is seeking a Data Scientist II to join their innovative initiative focused on transforming productivity through advanced generative AI technologies. This role presents a unique opportunity to be an early member of a team revolutionizing how Amazonians work and collaborate.

The position involves developing, implementing, and optimizing machine learning models, with a particular focus on natural language processing (NLP) and reinforcement learning techniques. You'll be working with terabytes of data to solve complex, real-world problems as part of Amazon's generative AI initiative. The role requires close collaboration with data scientists, software engineers, and UX/UI designers to create seamless, context-aware AI solutions.

As a Data Scientist II, you'll be responsible for the entire machine learning lifecycle - from data preprocessing and feature engineering to model development, training, and evaluation. The role demands expertise in Python, machine learning frameworks, and big data technologies. You'll work with cloud platforms, particularly AWS, and handle large-scale data processing using tools like Hadoop, Spark, and Kafka.

The team culture emphasizes technical excellence while maintaining an entrepreneurial spirit and bias for action. You'll be part of a highly motivated, collaborative, and fun-loving environment that values innovation and continuous learning. The compensation is competitive, ranging from $125,500 to $212,800 per year, depending on location and experience, plus additional benefits including equity and sign-on payments.

This is an excellent opportunity for someone passionate about AI and machine learning who wants to make a significant impact on how one of the world's largest companies operates. You'll be at the forefront of implementing cutting-edge AI technologies while working with a diverse team of talented professionals. The role offers both technical challenges and the opportunity to shape the future of workplace productivity through innovative AI solutions.

Key technical requirements include proficiency in Python and ML libraries, experience with NLP and reinforcement learning, expertise in data preprocessing, and familiarity with big data technologies. The ideal candidate will have at least 2 years of data science experience and 3+ years of experience with data querying languages and machine learning/statistical modeling.

Join Amazon's Enterprise Engineering team to be part of a transformative initiative that's pushing the boundaries of what's possible with AI while working in a collaborative, fast-paced environment that encourages creativity and innovation.

Last updated 3 months ago

Responsibilities For Data Scientist II, Enterprise Engineering

Design, develop, and implement machine learning models
Perform data cleaning, normalization, and feature engineering
Train and fine-tune machine learning models
Work with software engineering team to integrate ML models
Evaluate model performance using various metrics
Implement reinforcement learning strategies
Collaborate with cross-functional teams
Document model architectures and processes

Requirements For Data Scientist II, Enterprise Engineering

Python

Java

Kafka

Redis

2+ years of data scientist experience
3+ years of data querying languages experience
3+ years of machine learning/statistical modeling experience
Experience applying theoretical models in an applied environment
Proficiency in Python, including ML libraries
Strong understanding of machine learning algorithms and frameworks
Experience with NLP techniques and models
Expertise in data cleaning, normalization, and transformation
Experience with big data tools and frameworks

Benefits For Data Scientist II, Enterprise Engineering

Medical Insurance

Equity

Medical benefits
Financial benefits
Total compensation package including equity
Sign-on payments

Amazon

A global technology company focused on e-commerce, cloud computing, artificial intelligence, and digital streaming.

Seattle, WA, USA • Austin, TX, USA

$125,500 - $212,800

Machine Learning

Mid-Level Software Engineer

In-Person

3+ years of experience

AI · Enterprise SaaS

Amazon

Write a FizzBuzz program from 1 to 100. Print “Fizz” for multiples of three, “Buzz” for multiples of five, and “FizzBuzz” for multiples of both. How would you handle variations of the prompt, such as user-defined limits or words to print, or gracefully handle invalid input? Explain your approach and assumptions made.

Data Structures & AlgorithmsEasy

Write a program that prints the numbers from 1 to 100. But for multiples of three print “Fizz” instead of the number and for the multiples of five print “Buzz”. For numbers which are multiples of both three and five print “FizzBuzz”. Details: Your solution should be runnable and demonstrate the output. Focus on clean, readable code. Consider edge cases and error handling (though not strictly required for this basic version). Provide a brief explanation of your approach and any assumptions you made. Example: 1 2 Fizz 4 Buzz Fizz 7 8 Fizz Buzz 11 Fizz 13 14 FizzBuzz ... Variations (optional, for a more challenging exercise): Allow the user to input the upper limit of the range (instead of always going to 100). Allow the user to input the numbers to use for Fizz and Buzz (instead of always using 3 and 5). Allow the user to input the words to use for Fizz and Buzz (instead of always using Fizz and Buzz). Handle invalid inputs gracefully. This question assesses a candidate's basic programming skills, understanding of loops and conditional statements, and ability to write clean, understandable code. The variations allow for exploring error handling, input validation, and more flexible program design.

Arrays

Strings

Two Pointers

Stacks

Binary Search

Sliding Windows

Linked Lists

Trees

Recursion

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Database Problems

Amazon

Design a Chess Board OO

System DesignHard

Design a Chess Board using Object-Oriented principles. Consider the classes, their attributes, and methods. Focus on the core components like the board, pieces, and interactions between them. For example, how would you represent the different chess pieces (pawn, rook, knight, etc.) and their unique movement rules? How would you handle the logic for checking if a move is valid, including considering piece-specific constraints and checking for checkmate or stalemate scenarios? Illustrate with code snippets to showcase how these objects would interact. How will you handle special moves like castling and en passant? How would you keep track of the game state and handle turn management?

Arrays

Strings

Recursion

Database Problems

Amazon

Describe a time you disagreed with a teammate

Behavioral

Describe a time when you and a teammate had a fundamental disagreement about a project. What was the disagreement about? How did you approach resolving the disagreement? What was the outcome, and what did you learn from the experience?

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