Amazon Data Scientist Resume Examples

This article provides helpful examples of resumes for Amazon Data Scientists, including tips on how to write an effective resume.

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 8 min read

This article will provide guidance on how to write a resume for Amazon as a Data Scientist. It will include tips on how to highlight relevant experience, education, and skills that are important for the job. Additionally, it will outline key strategies for demonstrating your expertise in data science and analytics that can help you stand out from the competition.

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Amazon Data Scientist Resume Example

Tonisha Dutan, Data Scientist

(543) 354-6454

Portland, ME

Professional Summary

I am an experienced Data Scientist with over 3 years of experience in helping organizations leverage data to gain insights and create business value. My portfolio includes developing data pipelines, creating predictive models, and developing visualizations to communicate findings. I am proficient in Python, SQL, R, and Tableau, which allows me to quickly and accurately analyze data to drive decision making. I have a passion for data-driven solutions and am always exploring new techniques and technologies to create better insights. I'm also a certified Machine Learning Engineer and have developed several machine learning models to improve business processes.

Work Experience

Data Scientist at Aetna, ME

Sep 2022 - Present

  • Developed a predictive model for Aetna, ME to forecast healthcare utilization that reduced the rate of unnecessary hospital visits by 10% in its first year.
  • Analyzed and optimized data from EMRs (electronic medical records) to identify patient risk factors leading to improved early detection rates by 20%.
  • Utilized advanced machine learning algorithms such as random forests, gradient boosting machines and neural networks on large datasets resulting in an increase of accuracy levels up 5-10%, compared with traditional models.

Junior Data Scientist at Unum, ME

Jul 2020 - Jul 2022

  • Developed and implemented a predictive analytics model to identify high-value customers, resulting in an increase of customer retention by 10%.
  • Utilized natural language processing algorithms to automate the process of identifying sentiment from customer reviews, increasing accuracy rate up to 95%.
  • Implemented data visualization techniques on survey results which helped Unum management gain valuable insights into user behavior.


Master of Science in Data Science at University of Maine, Orono, ME

Sep 2016 - May 2020

Relevant Coursework: Statistical Machine Learning, Big Data Analytics, Database Systems, Data Visualization, Algorithm Design and Analysis.


  • Machine Learning
  • Data Analysis
  • Programming
  • Statistical Modeling
  • Data Visualization
  • Database Management
  • Business Intelligence


  • Cloudera Certified Professional: Data Scientist
  • Microsoft Certified Azure Data Scientist Associate

Tips for Writing a Better Amazon Data Scientist Resume

1. Highlight Your Relevant Skills: Showcase your skills that are relevant to the position of a data scientist on Amazon. Examples include Python programming, machine learning, and data analysis tools like Excel and Tableau.

2. Include Relevant Coursework: If you have taken any courses related to the position, make sure to list them in your resume. This will show employers that you have the necessary knowledge and experience to succeed in the role.

3. Showcase Your Achievements: Employers want to know what makes you stand out from other applicants. Make sure to highlight any awards or achievements that demonstrate your abilities as a data scientist on Amazon.

4. Use Keywords: Many companies use automated systems when scanning resumes for potential candidates. To make sure your resume stands out, use keywords related to the job description and requirements such as “data science”, “machine learning”, “big data”, etc.

5. Format Your Resume: A well-formatted resume will help draw attention to your most important qualifications and experiences as a data scientist on Amazon. Be sure to use clear headings and bullet points throughout the document so employers can easily identify the information they need quickly and efficiently!

Related: Data Scientist Resume Examples

Key Skills Hiring Managers Look for on Amazon Data Scientist Resumes

When applying for a Data Scientist opportunity at Amazon, it is important to incorporate keywords from the job description into your application materials. This is because Amazon uses Applicant Tracking Systems (ATS) to evaluate potential applicants. ATSs scan and rank resumes based on their relevancy to the job posting, and by including relevant keywords, you can ensure that your resume will be seen by an actual recruiter. Additionally, having the exact same words used in the job description demonstrates that you are a good fit for the role and have taken the time to tailor your application to Amazon's specific needs.

The following is a list of skills and terms commonly used when applying for data scientist roles at Amazon:

Key Skills and Proficiencies
Machine LearningData Mining
Data AnalysisStatistics
Python ProgrammingR Programming
Database ManagementData Visualization
Big Data TechnologiesArtificial Intelligence (AI)
Natural Language Processing (NLP)Deep Learning
Algorithm DevelopmentPredictive Modeling
Business Intelligence (BI)Data Warehousing
Cloud ComputingData Wrangling
Text MiningLinear and Logistic Regression
Time Series AnalysisData Cleaning

Related: Data Scientist Skills: Definition and Examples

Common Action Verbs for Amazon Data Scientist Resumes

Finding the right action verbs to use on a resume can be difficult, and it is especially important to use varied verbs when creating an Amazon Data Scientist Resume. Using the same words over and over again can make a resume seem dull and repetitive. Instead, try to use words that are specific to the field of data science, such as “analyzed,” “developed,” “visualized,” or “implemented.” Additionally, use words that accurately reflect your accomplishments in the data science field. This will help you stand out from other candidates and demonstrate your knowledge and experience in the field.

To give you a competitive edge and make your resume stand out, we've compiled a list of powerful action verbs you can use to strengthen your resume and increase your chances of landing that next interview:

Action Verbs

Related: What does a Data Scientist do?

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