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LinkedIn Data Scientist Resume Examples

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

Published 9 min read

This article provides a comprehensive guide on crafting an effective LinkedIn profile for data scientists. It delves into the essentials of showcasing your academic qualifications, professional experience, and technical skills in a compelling manner. The piece emphasizes the importance of using industry-specific keywords to increase visibility, articulating your achievements quantitively, and demonstrating your proficiency in relevant tools and programming languages. It also discusses how to effectively exhibit your projects and research work, and how to make use of recommendations and endorsements to bolster your profile. This article is designed to aid data science professionals in curating a powerful LinkedIn profile that stands out to potential employers.

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LinkedIn Data Scientist Resume Example

Israel Kuno, Data Scientist


(577) 501-8348

Louisville, KY

Professional Summary

Data Scientist with one year of experience in leveraging data-driven models to solve complex business problems and drive strategic decision making. Possesses strong expertise in statistical modeling, data mining, and machine learning techniques. Proven ability to communicate complex analyses to non-technical audiences. Skilled in Python, R, SQL, and visualization tools. Adept at working in cross-functional teams and managing multiple projects simultaneously. Demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods.

Work Experience

Data Scientist at Humana Inc., KY

Apr 2023 - Present

  • Developed a predictive model that improved the accuracy of patient risk assessment by 35%, significantly enhancing patient care and reducing healthcare costs.
  • Implemented advanced data analytics techniques that led to a 20% increase in operational efficiency, saving the company approximately $2 million annually.
  • Led a team that designed and launched a machine learning algorithm which improved fraudulent claims detection by 40%, preventing losses of around $5 million in the first year of implementation.

Junior Data Scientist at General Electric Company, KY

Sep 2022 - Mar 2023

  • Led a team to develop an analytics model that improved the efficiency of GE's supply chain operations by 25%, resulting in annual cost savings of $1.2 million.
  • Conducted detailed data analysis that identified $500,000 in potential revenue through the implementation of new business strategies.
  • Designed a predictive model for machinery failure that reduced unplanned downtime by 15%, leading to an increase in productivity and saving the company $800,000 annually.


Master's Degree in Data Science at University of Louisville, KY

Aug 2017 - May 2022

Relevant Coursework: Machine Learning, Data Mining, Big Data Analytics, Data Visualization, Statistical Modeling, Predictive Analysis, Database Systems, Artificial Intelligence, Computer Programming, Cloud Computing, Data Structures and Algorithms.


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


  • Certified Data Scientist (CDS) from The Data Science Council of America
  • IBM Data Science Professional Certificate

Tips for Writing a Better LinkedIn Data Scientist Resume

1. Highlight Relevant Skills: Start with listing your technical skills such as knowledge in programming languages (Python, R), machine learning algorithms, data visualization tools (Tableau, Power BI), statistical analysis, database querying languages (SQL), big data platforms (Hadoop, Spark).

2. Showcase Your Experience: Clearly explain your past experience in data science roles. What projects have you worked on? What were the results and impacts of these projects? Use quantifiable achievements to demonstrate your contributions.

3. Education and Certifications: List all relevant degrees and certifications related to data science. This could include a degree in computer science or statistics, or certifications from online platforms like Coursera or edX.

4. Use Keywords: Many recruiters use LinkedIn's search function to find potential candidates. Make sure you use keywords that are applicable to the job you're applying for throughout your profile.

5. Include a Strong Summary: Write a concise yet powerful summary that highlights your skills, experience, and career goals as a Data Scientist.

6. Detail Your Roles: For each position held, provide details about what you did in terms of projects and responsibilities.

7. Provide Evidence of Your Work: If possible, link to examples of your work such as GitHub repositories or blog posts where you've explained complex concepts or methods.

8. Recommendations and Endorsements: Request recommendations from colleagues or managers who can vouch for your skills and expertise.

9. Join Relevant Groups: Participating in relevant groups can show that you're engaged in the data science community.

10. Update Regularly: Keep your profile updated with any new skills learned or projects completed.

11. Proofread Your Profile: Make sure there are no spelling or grammar mistakes on your profile as it represents your professional image.

12. Be Active on LinkedIn: Post regularly about industry trends or share insightful articles to showcase your interest and understanding about the field.

Related: Data Scientist Resume Examples

Key Skills Hiring Managers Look for on LinkedIn Data Scientist Resumes

When you apply for a Data Scientist role at LinkedIn, it is crucial to incorporate keywords from the job description into your application. This is because LinkedIn, like many other companies, uses Applicant Tracking Systems (ATS) to manage their recruitment process. ATS are essentially software applications that can sort through thousands of resumes in a short period of time. They filter applications automatically based on given criteria such as keywords related to the skills, qualifications and experiences required for the job. By incorporating these keywords into your resume and cover letter, you increase your chances of passing this initial screening and having your application reviewed by a human recruiter. Without these keywords, even if you are highly qualified, the system might overlook your application. Therefore, understanding and leveraging this aspect can give you an edge in the highly competitive job market.

When applying for data scientist positions at LinkedIn, you may encounter a list of common skills and key terms.

Key Skills and Proficiencies
Statistical AnalysisMachine Learning
Data MiningData Cleaning
Data VisualizationPython Programming
R ProgrammingSQL Database/Coding
Cloud Tools (AWS, GCP)Big Data Processing (Hadoop, Spark)
Deep LearningAI Development
Predictive ModelingNatural Language Processing
Business Intelligence (BI) ToolsProblem-Solving Skills
Critical ThinkingCommunication Skills
Understanding of Algorithms and Mathematics.Knowledge in Industries like Finance or Healthcare.
Unstructured Data Techniques.Git and Version Control Systems

Related: Data Scientist Skills: Definition and Examples

Common Action Verbs for LinkedIn Data Scientist Resumes

Crafting a compelling resume, especially for a data scientist position on LinkedIn, can be challenging. One of the main difficulties lies in finding varied action verbs to describe your experiences and skills. The use of repetitive or common verbs can make your resume blend into the crowd, reducing its effectiveness. Using diverse and powerful action verbs, however, can significantly enhance your resume by making it more engaging and attention-grabbing. These verbs not only highlight your abilities and accomplishments in a clear and concise manner but also paint a vivid picture of your professional journey, thereby helping potential employers understand your value better. Therefore, investing time to carefully select diverse action verbs is crucial for creating an effective LinkedIn Data Scientist Resume.

To provide you with a competitive advantage, we have put together a list of impactful action verbs that can enhance your resume and help 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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