Data Scientist Resume Example & Writing Tips


Follow our expert writing tips to help you write a resume that will impress hiring managers. And to complete your application, pair your resume with a matching data science cover letter.
Data scientist resumes by experience level



Want to see examples for different jobs? Browse our full library of free resume samples.


Data science resume template (text format)
Pair this example resume with one of our resume templates to build a data scientist resume that will impress hiring managers.
[Your Address] New York, NY
[Your Email Address] | [Your Phone Number]
[LinkedIn Profile] (optional)
Data Scientist with 5+ years of experience executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems.
- PHP
- Ruby on Rails
- Java
- C++
- Python
- MySQL
- SQLite3
- MongoDB
- JSON
- Data mining
- Data management
- Problem solving
- Conduct data regression analyses of the relationship between company stock prices and industry trends, achieving a 15% more accurate prediction of performance than previous years
- Use web scraping techniques to extract and organize competitor data
- Updated company data warehousing techniques such as data recall and segmentation, resulting in a 20% increase in usability for non-technical staff members
- Modernized data streamlining processes, resulting in a 47% redundancy reduction
- Worked with management to develop and apply digital marketing plans with a focus on driving acquisition and conversion
- Devised and implemented robust digital acquisition plans, ensuring precision in financial reporting, budgets, and forecasts
- Increased conversions by 15% from paid sources (PPC, Grant, Display, and VOD)
- Enhanced conversion rates by 12% via A/B testing landing pages for a better performing conversion funnel
Resume Genius University
MS in Statistics
Graduation Date: May 20XX
- Microsoft Certified Solutions Expert, 20XX
Data scientist resume examples by experience level
Whether you’re an entry-level data scientist just starting your career or a seasoned expert with years of experience, we’ve got resume examples for every industry that will help you stand out to potential employers. Check out the three additional data scientist resume examples below:
Data science intern resume
Use this example as a guide to tailor your own resume and increase your chances of landing your dream data science internship:
Why this is a good example of a data science intern resume
- Concise and well-organized: The resume sections are clearly separated, with concise bullet points for each job experience entry that allow employers to scan it quickly.
- Lists relevant skills prominently: The skills section is at the top of the resume, right below the summary. Clearly listing their key data science skills here makes it easy for employers to see what sets the applicant apart from others.
Entry-level data scientist resume
A compelling resume that showcases your skills, education, and relevant experience is crucial to break into the competitive field of data science.
Why this is a good example of an entry-level data science resume
- Lists relevant experience: The applicant highlights their data science internships and projects, demonstrating hands-on experience and skills that align with an entry-level data scientist position.
- Action verbs: Each bullet point starts with a strong action verb (like ‘developed’, ‘collaborated’, ‘conducted’), which highlights the candidate’s active role and contributions in their projects and internship.
Senior data scientist resume
Senior data scientists should highlight their expertise in applying sophisticated machine learning and statistical techniques to extract actionable insights from complex datasets. Here’s an example of a resume that does just that:
Why this is a good example of a senior data scientist resume
- Shows career progression: Including full titles like Senior Data Scientist and Lead Data Scientist show an upward career trajectory.
- Emphasizes leadership experience: The candidate conveys leadership skills by showing how they led teams of data scientists and conducted workshops. This demonstrates their ability to manage and mentor junior employees.
Job-specific data scientist resume examples
To help you write an effective resume that’s targeted to the specific position you’re applying for, we’ve put together examples of data scientist resumes tailored for specific industries and roles.
Salesforce developer resume
With growing demand for skilled Salesforce developers, a resume that effectively showcases your technical expertise, problem-solving abilities, and relevant experience is vital. Check out this Salesforce developer resume example to use as a reference when writing your resume.
Why this is a good example of a Salesforce developer resume
- Concise summary: The resume introduction effectively sums up the candidate’s 9+ years of experience and key skills into a concise overview that will make hiring managers want to keep reading.
- Well-formatted education section: The candidate’s education section provides key details about their educational background, including the school’s name and location, graduation date (month and year), GPA, and honors received.
Tableau developer resume
Make your accomplishments as a Tableau developer stand out to employers by modeling your own Tableau developer resume off of this example:
Why this is a good example of a Tableau developer resume
- Clear header: The header prominently displays the job title and includes key contact details so that the candidate will be easy to reach.
- Quantified work experience: The candidate includes quantified achievements on their resume, using hard numbers to provide concrete evidence of their skills and contributions
Power BI developer resume
A good Power BI developer resume should demonstrate your ability to create compelling data visualizations and reports. For example:
Why this is a good example of a Power BI developer resume
- Well-organized: The resume sections are clear and display the most important information first. The candidate’s professional experience is listed in reverse-chronological order with the most recent job first, which makes the information logical and easy to follow.
- Relevant additional skills: In addition to the technical skills critical for the job, this resume includes additional relevant skills that set the candidate apart from others.
Data visualization resume
A well-crafted data visualization resume showcases your ability to transform complex data into easily understandable and actionable insights.
Why this is a good example of a data visualization resume
- Variety of responsibilities: The candidate highlights a range of job responsibilities, from creating dashboards and developing custom platforms to collaborating with teams and giving presentations. This shows that they’re a well-rounded professional capable of excelling in any data visualization role.
- Emphasizes data visualization tools: The resume strategically emphasizes the candidate’s skills in data visualization tools, in both the work experience bullet points and the skills section.
Average data scientist salaries in the US
The following table includes information from O*NET Resource Center by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license.The data is presented based on the top states in the USA.
Average data scientist salaries by state
State | Salary |
---|---|
California | $133,690 |
Texas | $100,100 |
Virginia | $136,490 |
Florida | $95,360 |
New York | $128,890 |
Pennsylvania | $97,260 |
Illinois | $108,580 |
Ohio | $97,070 |
Georgia | $100,950 |
North Carolina | $126,940 |
National Average | $104,916 |
How to write a data scientist resume
Data science is a competitive field that is rapidly changing. To stay ahead of the competition, you need an effective resume that shows you’re up-to-date with the latest tools, and that you’ve got the skills and experience to excel on day one.
Whether you’re an aspiring data scientist or looking to make the jump to a data science manager role, follow these four tips to craft your perfect data science resume:
1. Include skills and other keywords from the job description
Your resume should convince the hiring manager that you have the right hard skills and software knowledge for your target role.
List your key technical skills in a separate additional skills section, like this:
- Python
- SQL
- Pandas
- Scikit-learn
- TensorFlow/PyTorch
- AWS/GCP/Azure
- Spark
- GitMySQL
- SQLite3
- MongoDB
- JSON
You should also explain how you’ve applied your skills in past roles in your work experience bullet points. This gives hiring managers a sense of the scope of your expertise. For example:
- Designed and implemented a scalable data storage solution using MongoDB to efficiently handle and query large volumes of unstructured and semi-structured data, such as JSON documents, logs, and sensor data, enabling real-time analytics and insights for data-driven decision making
You should also scan the job description for other resume keywords. If you’re not sure which ones to include, we’ve compiled a list of the top keywords from real data scientist job listings:
Data
Keyword | Count |
---|---|
Machine Learning | 407 |
Computer Science | 315 |
Data Analysis | 229 |
Master's Degree | 180 |
Communication Skills | 168 |
Bachelor's Degree | 160 |
Data Visualization | 151 |
Python / R | 129 |
Cross-functional Teams | 126 |
Statistical Analysis | 105 |
2. Write a clear career objective
Your resume objective is the first section that hiring managers will look at, so it’s important to make it impressive.
Your introduction should be 3–5 sentences long and include your:
- Years of experience
- Key skills
- Immediate career goals
Here are some examples:
Experienced data scientist resume
Data Scientist with 4 years of experience executing data-driven solutions to increase accuracy, and utility of internal data processing. Adept at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. Looking to use my experience and academic background in statistics to manage statistical machine learning and data-related solutions at your organization.
NLP data scientist resume
Data Scientist with over 5 years of experience specializing in natural language processing. Skilled in developing and deploying NLP models for sentiment analysis, text classification, and named entity recognition. Experienced in working with large unstructured datasets and deep learning frameworks such as TensorFlow and PyTorch. Seeking to apply my expertise to develop innovative solutions for text analysis and data-driven decision-making.
Healthcare data scientist resume
Results-driven Data Scientist with 6 years of experience in the healthcare industry. Expertise in analyzing electronic health records (EHR), claims data, and clinical trial data to improve patient outcomes and optimize healthcare delivery. Proficient in statistical modeling, predictive analytics, and data visualization using tools like Python, R, and Tableau. Aiming to leverage my expertise to drive improvements in patient care, clinical outcomes, and operational efficiency.
3. Add numbers to your work experience section
Use the work experience section of your resume to draw attention to your accomplishments. Do this by using hard numbers to back up your achievements and provide evidence of your skills and contributions in past roles.
For example:
- Reduced Mean Absolute Percentage Error (MAPE) in stock price prediction by 15%, from 20% to 17%, using a time-series regression model validated with a holdout test set
- Implemented data deduplication algorithms, reducing data duplication by 25% and saving 10TB in storage
Here are some common quantifiable metrics in the data science field:
- Revenue growth
- Cost savings
- Churn reduction
- Conversion rate
- Model accuracy
- Error reduction
- Time savings
- Processing speed
4. Fill in your education section
The education section on your data scientist resume is crucial for showcasing your academic qualifications and relevant certifications. Here’s an example of a well-formatted education section:
EDUCATION
Bachelor of Science in Statistics
University of California, Los Angeles (UCLA)
Los Angeles, CA
June 20XX
GPA: 3.8/4.0
Certifications:
- IBM Data Science Professional Certificate (Coursera), 20XX
- AWS Certified Machine Learning – Specialty (Amazon Web Services), 20XX
If you have more than two certifications, put them in their own designated section, like this:
CERTIFICATIONS
Google Data Analytics Professional Certificate
20XX
AWS Certified Machine Learning
20XX
TensorFlow Developer Certificate
20XX
Additional resources
Applying for your first job in the field and curious about what a day in the life of a data scientist looks like? Check out this video by Sundas Khalid, data scientist at Google:

Build your resume in minutes
Use an AI-powered resume builder and have your resume done in 10 minutes. Just select your template and our software will guide you through the process.
Make a resume in minutes
Pick your template, fill in a few details, and our builder will do the rest.
Click to rate this article
4.9 Average rating