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Amazon Machine Learning Scientist Resume Examples

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Updated 9 min read

This article will provide guidance on how to write a resume for Amazon as a Machine Learning Scientist. It will discuss what qualifications, experiences, and skills are most important to include in order to stand out as an applicant. Additionally, the article will explain how to best position your experience and background in order to maximize your chances of success in the hiring process.

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Amazon Machine Learning Scientist Resume Example

Elanna Noceda, Machine Learning Scientist


(388) 147-7528

Albany, NY

Professional Summary

I am a Machine Learning Scientist with over 3 years of experience. I have worked on a variety of projects ranging from image recognition to natural language processing. My expertise lies in developing machine learning algorithms, designing neural networks and optimizing machine learning models. I have extensive experience in developing and testing models, as well as extracting insights from data. I am also proficient in programming languages such as Python, Java and R. Additionally, I have experience in data analysis, visualization and reporting. My goal is to continue developing innovative machine learning models and applications that can help organizations create value from data.

Work Experience

Senior Machine Learning Scientist at IBM, NY

Oct 2022 - Present

  • Developed an automated machine learning algorithm for IBM Watson that achieved 95% accuracy in predicting customer service call outcomes, resulting in a 15% increase of efficiency.
  • Designed and implemented neural network models to detect fraud transactions with 99.5% precision rate across multiple datasets within the company’s financial services division.
  • Collaborated on a project using natural language processing techniques to improve speech recognition quality by 20%, leading to more accurate voice-enabled product interactions from customers at scale.
  • Optimized existing deep learning algorithms used for image segmentation tasks; improved model performance by 10%.

Machine Learning Scientist at Google, NY

Jul 2020 - Aug 2022

  • Developed an artificial intelligence model that improved Google's image recognition accuracy by 15% within a 3-month period. This led to increased efficiency and cost savings for the company.
  • Collaborated with colleagues from different departments in order to increase user engagement on YouTube using machine learning algorithms, resulting in a 10% viewership growth over 6 months.
  • Created predictive models based on customer data which enabled Google Ads team to optimize their campaigns more effectively; this resulted in 20% higher conversion rates compared to prior year’s results.
  • Developed natural language processing (NLP) applications utilizing deep neural networks that helped automate tasks such as sentiment analysis, entity extraction and topic modeling across multiple channels including search engine queries – achieving 80+ percent accuracy rate within 4 weeks of deployment time frame.


Master of Science in Machine Learning at Columbia University, NY

Aug 2016 - May 2020

Relevant Coursework: Algorithms for Machine Learning, Artificial Intelligence, Probabilistic Graphical Models, Advanced Machine Learning Techniques. Relevant Coursework for a Master of Science in Machine Learning includes Algorithms for Machine Learning, Artificial Intelligence, Probabilistic Graphical Models, and Advanced Machine Learning Techniques.


  • Programming
  • Mathematics
  • Data Analysis
  • Machine Learning Algorithms
  • Statistical Modeling
  • Data Visualization
  • Communication


  • Certified Machine Learning Scientist (CMLS)
  • Certified Artificial Intelligence Professional (CAIP)

Tips for Writing a Better Amazon Machine Learning Scientist Resume

1. Highlight Your Skills: Make sure to highlight your skills in Machine Learning, such as programming languages and frameworks, data mining techniques, statistical analysis methods, and any other related experience that you have. Also include any certifications or awards you may have received for your work.

2. Customize Your Resume: A generic resume won't stand out from the competition; tailor it to match the job description of the Amazon Machine Learning Scientist position you are applying for. Include relevant keywords and phrases to show that you understand the kind of skills that are needed for this role.

3. Demonstrate Your Knowledge: Showcase your knowledge of Machine Learning by providing examples of projects that you have worked on in the past. Explain how your efforts improved a process or solved a problem, and how you used various tools to reach a successful outcome.

4. Showcase Your Results: Instead of simply listing what tasks you completed, explain how successful they were in terms of results achieved or problems solved. This will demonstrate your ability to effectively use Machine Learning to make an impactful difference.

5. Use Action Words: Avoid using passive language in your resume; instead, use action words such as “developed”, “implemented”, “analyzed” and “designed” to showcase your accomplishments in a more powerful way.

Related: Machine Learning Engineer Resume Examples

Key Skills Hiring Managers Look for on Amazon Machine Learning Scientist Resumes

Incorporating keywords from the job description into your resume and cover letter is an important step when applying for a Machine Learning Scientist opportunity at Amazon. This is because Amazon uses an Applicant Tracking System (ATS) to scan resumes for relevant keywords, which makes it easier for recruiters to quickly find qualified candidates. By including specific phrases and terms from the job description in your application materials, you can increase the likelihood of your resume being picked up by the ATS and seen by a recruiter.

When applying for a Machine Learning Scientist position at Amazon, you may encounter common skills and key terms such as those listed below.

Key Skills and Proficiencies
PythonData Analysis
StatisticsMachine Learning Algorithms
Deep LearningData Visualization
Data MiningNatural Language Processing (NLP)
Artificial Intelligence (AI)Neural Networks
Big Data TechnologiesProbability Theory
Linear AlgebraCalculus
Computer VisionImage Recognition
Reinforcement LearningTime Series Analysis
Optimization TechniquesFeature Engineering
Model Selection & EvaluationSoftware Development

Related: Machine Learning Engineer Skills: Definition and Examples

Common Action Verbs for Amazon Machine Learning Scientist Resumes

Finding the right action verbs to use on a resume can be difficult, especially when it comes to creating an Amazon Machine Learning Scientist Resume. It is important to use varied verbs in order to demonstrate the range of skills and experiences you have acquired. Using the same words over and over again can make your resume appear less impressive and may limit your chances of getting noticed by hiring managers. Instead, try to think of creative ways to describe your accomplishments using different action verbs. This will help make your resume stand out and show that you are a well-rounded candidate with experience in various areas.

Want to stand out from the competition? Boost your resume and increase your chances of landing an interview by incorporating powerful action verbs into it. Here is a list of some of the most effective ones:

Action Verbs

Related: What does a Machine Learning Engineer do?

Editorial staff

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Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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