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Pinterest Data Scientist Resume Examples

Photo of Brenna Goyette
Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 10 min read

In this comprehensive guide to crafting the perfect resume for a Data Scientist role at Pinterest, we'll delve into the key elements that will make your application stand out from the crowd. Learn how to showcase your technical expertise in machine learning, data mining, and predictive modeling, as well as demonstrate your ability to translate complex data insights into actionable business strategies. Discover the importance of highlighting your proficiency in programming languages and data visualization tools commonly used at Pinterest, such as Python, R, SQL, and Tableau. We'll also discuss tips for emphasizing relevant industry experience and soft skills like communication and collaboration that are critical for success in a fast-paced environment like Pinterest. By following these expert recommendations, you'll be well on your way to landing an interview for your dream job as a Data Scientist at Pinterest.

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Pinterest Data Scientist Resume Example

Bristyl Santell, Data Scientist


(141) 852-6660

123 Oak Street, Nashville, TN 37203

Professional Summary

Data Scientist with 2 years of experience in leveraging advanced analytical skills to drive data-driven decision making and develop innovative solutions for complex business problems. Proficient in Python, R, and SQL, with expertise in machine learning, data visualization, and statistical modeling. Strong communicator with a proven track record of delivering actionable insights and collaborating effectively with cross-functional teams.

Work Experience

Senior Data Scientist at Change Healthcare, TN

Feb 2023 - Present

  • Successfully implemented a machine learning model that increased revenue prediction accuracy by 25%, resulting in a $2 million increase in annual revenue for Change Healthcare.
  • Developed and deployed a predictive analytics system for identifying potential fraud cases, reducing false positives by 35% and saving the company over $500,000 in investigation costs.
  • Led a cross-functional team to create a data-driven recommendation engine that improved customer satisfaction by 20% and increased upsell opportunities by 15%, contributing to a $1.5 million growth in sales.

Junior Data Scientist at Asurion, TN

Sep 2021 - Jan 2023

  • Developed a machine learning model that increased customer retention by 15%, resulting in an estimated annual savings of $2 million for Asurion's insurance services.
  • Implemented a data pipeline optimization that reduced data processing time by 35%, enhancing efficiency and enabling the team to focus on higher-impact projects.
  • Conducted a comprehensive analysis of customer feedback data, identifying trends and insights that led to a 10% improvement in overall customer satisfaction ratings within six months.


Master of Science in Data Science at University of Tennessee, Knoxville, TN

Aug 2017 - May 2021

Relevant Coursework: Advanced Statistics, Machine Learning, Data Mining, Data Visualization, Big Data Analytics, Python and R Programming, Natural Language Processing, Deep Learning, and Database Management.


  • Python
  • R
  • SQL
  • TensorFlow
  • Hadoop
  • Tableau
  • Spark


  • Certified Data Scientist (CDS) from the Data Science Council of America (DASCA)
  • Professional Certificate in Applied Data Science from IBM

Tips for Writing a Better Pinterest Data Scientist Resume

1. Use a clear and concise format: A well-organized resume is easy to read and understand, which increases your chances of being selected for an interview. Use headings, bullet points, and bold text to highlight important information.

2. Tailor your resume for the specific job: Carefully read the job description and requirements for the Pinterest Data Scientist role you are applying for. Make sure to emphasize relevant skills, experience, and achievements in your resume that match what the employer is looking for.

3. Focus on measurable achievements: Include quantifiable results when describing your professional accomplishments. For example, instead of saying “improved website performance,” say “increased website conversion rate by 20% through A/B testing and data-driven recommendations.”

4. Highlight technical skills: As a data scientist, you need to showcase your expertise in programming languages (such as Python or R), statistical analysis tools (like SAS or SPSS), big data technologies (e.g., Hadoop or Spark), and machine learning frameworks (TensorFlow or PyTorch). Be specific about your proficiency level in each skill.

5. Showcase relevant experience: Include details about internships, projects, or previous jobs that demonstrate your ability to work with large datasets, analyze complex problems, develop algorithms, or create predictive models.

6. Emphasize soft skills: While technical knowledge is crucial for a data scientist role at Pinterest, don't forget to highlight essential soft skills like communication, teamwork, problem-solving abilities, and adaptability.

7. Include relevant certifications: If you have any industry-recognized certifications related to data science (such as Microsoft Certified Data Scientist Associate or Google Cloud Professional Data Engineer), make sure to include them on your resume.

8. Keep it brief but informative: Limit your resume to one or two pages while ensuring that all critical information is included. Avoid including irrelevant details that do not add value to your application.

9. Proofread for errors: A resume with spelling or grammatical errors can create a negative impression. Double-check your resume to ensure that it is free of mistakes and easy to read.

10. Use keywords from the job description: Employers often use applicant tracking systems (ATS) to screen resumes, looking for specific keywords related to the role. Make sure to include relevant terms and phrases from the job description throughout your resume to increase your chances of passing the ATS screening process.

Related: Data Scientist Resume Examples

Key Skills Hiring Managers Look for on Pinterest Data Scientist Resumes

When applying for a Data Scientist position at Pinterest, it is crucial to incorporate keywords from the job description in your application materials. This is because Pinterest, like many other companies, utilizes Applicant Tracking Systems (ATS) to filter and rank candidates based on their relevance to the job requirements. These systems are designed to identify specific keywords and phrases from the job description, so including them increases your chances of passing through the initial screening process and being considered for an interview. Therefore, carefully analyze the job posting and make sure to tailor your resume and cover letter accordingly, highlighting relevant skills, experiences, and qualifications that match the desired criteria. By doing so, you can improve your visibility in the competitive job market and increase your chances of securing a Data Scientist role at Pinterest.

When applying for data scientist positions at Pinterest, you may encounter common skills and key terms such as machine learning, data visualization, big data, programming languages (Python, R), statistical analysis, predictive modeling, and natural language processing.

Key Skills and Proficiencies
StatisticsMachine Learning
Data VisualizationProgramming (Python, R)
Big Data AnalyticsData Mining
Data Cleaning and PreprocessingDeep Learning
Natural Language Processing (NLP)Time Series Analysis
Artificial Intelligence (AI)SQL and Database Management
Cloud Computing (AWS, Azure, GCP)Algorithm Development
Optimization TechniquesFeature Engineering
Model Evaluation and ValidationDomain Knowledge and Industry Expertise
Communication and Presentation SkillsProblem Solving and Critical Thinking
Teamwork and CollaborationProject Management

Related: Data Scientist Skills: Definition and Examples

Common Action Verbs for Pinterest Data Scientist Resumes

Crafting a compelling resume can be a challenging task, particularly when it comes to incorporating action verbs that accurately describe one's skills and experiences. Using varied and powerful action verbs is crucial in creating a Pinterest Data Scientist Resume that stands out from the competition. However, finding the right verbs to use can be difficult, as many of them may seem overused or clichéd. It is essential to carefully select these verbs to not only demonstrate your expertise but also to convey your unique abilities and accomplishments as a data scientist. By using diverse and engaging action verbs, you can create an impressive resume that effectively showcases your talents and captures the attention of potential employers.

To provide you with a competitive advantage, we have assembled a collection of impactful action verbs that can enhance your resume and secure your next interview:

Action Verbs

Related: What does a Data Scientist 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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