If you want to write a great data scientist resume, then you need to know how to display your skills. Here’s how you can create a better data scientist resume.
Write a Better Data Scientist Resume With These Tips
Data Scientist Resume Samples
Data science is a complex field of research that’s mostly based on trying to solve different problems with data. Oftentimes, it’s centered around helping with different business problems, but data science projects can range the gamut from governmental projects to NGO projects to private projects and beyond. If you want to make your resume shine, then here’s how to write a resume for any job posting.
What To Emphasize In A Data Scientist Resume
Your skills will always be the key component in a data scientist resume. Obviously, the more experience you get, the more you’ll rely on how you’ve used your skills to benefit different organizations. Therefore, the perfect resume for a data science position will always rely on the skills that you have, as this is a critical component of doing data science.
Essentials to Boost Your Career
Didn’t find exactly what you were looking for? No problem! Try our resume builder or explore the examples below.
- Architecture Resume
- Carpenter Resume
- Civil Engineer Resume
- Copywriter Resume
- Cyber Security Resume
- Data Entry Resume
- Electrical Engineering Resume
- Electrician Resume
- Engineering Resume
- Engineering Student Resume
- Full Stack Developer Resume
- HVAC Resume
- Logistics Resume
- Maintenance Resume
- Network Engineer Resume
- Plumber Resume
- Programmer Resume
- Software Developer Resume
- Technical Resume
- Welder Resume
Browse our resume examples collection, featuring career-focused tips and resources.
Tips for Writing a Data Science Resume
- Don’t include your GPA on your resume. GPA typically isn’t required for a resume. Other honors like the cum laude will usually be more beneficial to feature.
- Do tailor your resume specifically toward an application. This way, you’ll be able to showcase the right technical skills and experience to match the specific job position.
- Do use the ResumeNerd resume builder to create your resume. While this builder is best if you don’t have a lot of experience with writing a resume, it can help you regardless of experience.
Data Scientist Resume Example
How To Build Your Data Science Resume
Any good data science resume needs to show off all the information that makes you a good data scientist. You want a recruiter to be able to read your resume and immediately know that you’ll be a great addition to the company. Here’s how.
-
Resume header
The resume header is part of the resume design overall. It usually includes your full name, contact information including your phone number, location, email address and links to job networking profiles such as your LinkedIn profile.
-
Resume summary and objective
Next is your resume summary and resume objective. These both feature two to three sentence paragraphs at the very top of a resume that generally summarizes your resume and talks about your best qualities. A resume objective is preferred when a job candidate lacks work experience. Instead, the objective discusses your career goals instead of years of experience.
-
Skills
In the data science field, your skills section could probably be lengthy. Recruiters will want to know about your skill set as a whole. Here are a few bullet points you can incorporate in the skills section of your resume:
- Knowledge of machine learning
- Finding and utilizing data sets
- Programming languages (Python, SQL, Java, C#)
- Writing and managing algorithms
- Data visualization
- Understanding big data
- Data mining
- General data analysis
- Finding data sources
- Using GitHub and Spark
- General data modeling
- Working with software utilities (Hadoop, Tableau)
- Problem-solving
- Creating data regression models
- Deep learning
- Building machine learning models
- Predictive modeling
- Understanding real-time data
- Overall data analytics
On average, you’ll probably want to use five or six skills for a chronological resume and up to a dozen for a functional resume. Review your experience and select what skills you know you’re best at.
-
Work history
Your experience section is where you can include up to ten years of work experience, depending on the level of the position. A senior level applicant would possess more experience than an entry level job candidate. Many data scientist jobs can benefit from a data scientist resume sample. Here are a few:
- Data analyst
- Data modeling expert
- Senior data scientist
- Data engineer
- Entry-level data scientist
- Junior data scientist
All of these can be a great introduction to a professional resume. Additionally, be sure to provide measurable metrics in your job experience descriptions to showcase your skills throughout your resume.
-
Education
The last section of your resume is your education section. This is where you put your formal education and any professional certifications you have. Most of the time, data scientists have an education in computer science. Include your degrees here, as well as any other training and education you have.
