Data science resume sample & guide 2023

Data Analyst Resume Writing Tips

Here are some of useful tips to help you write an effective resume —

1. First of all, save your data analyst resume as a PDF. However, make sure to check the job description. This is because employers may be different and may or may not accept pdf data analyst resumes.
2. The contact information section must include the name, email address, and phone number. (The address is optional). You can also add your LinkedIn profile link in the contact information section. Always make sure to use your professional email address and phone number.
3. The resume summary needs to be creative, highlighting your skills, work experience, and achievements. Be professional. Keep it short and precise. Also, make sure to avoid personal pronouns or remove unnecessary words.
4. When listing your work experience, start with your most recent job.
5. Always make sure to add bullet points that demonstrate your achievement by citing numerical figures to your data analyst work experience summary.
6. Boost your resume by completing various data analyst projects matching your career goals.
7. While adding your educational details, you should add the degree type, major, university location, and academic achievements.
8. List the achievements matching the job description you are applying for. KnowledgeHut’s data science Bootcamp is extremely helpful for aspiring data analysts and helps you gain all the required skills. This Data Science Bootcamp duration is 5 to 6 months. 
9. For a data analyst resume, your skill sets are what work as your resume keywords. Most data analyst employers look for the top skills that data analyst employers look for including communication, analytical, math, technical, attention to detail, problem-solving, creative thinking, strategic decision-making, etc.
10. Also, make sure that your skill sets match that of the data analyst roles and responsibilities in the resume template mentioned above. 

Pro tip: Your chances of getting shortlisted or selected by the employer may increase if you add a data analyst resume and cover letter.

Professional summary for Data Science Resume

Before we get into the work experience section of your data scientist resume sample, we’re going to be focusing on another very important section — the resume summary or resume objective section.

It is known that a hiring manager looking to fill data science positions gets bombarded with applications every day. A recruiter will only spend up to 10 seconds on each resume.

Sometimes, applications just get scanned by word processing programs during the hiring process without a hiring manager even looking at them.

Because of such a short amount of time a data science resume has to impress the reader, you’ll have to include a section that depicts your best skills, experiences, and knowledge in just a few seconds.

This section can be written in two ways:

The data scientist resume summary is a great option for a senior data scientist resume. More experienced candidates can write about their highest accomplishments, work experiences, and skills in this section.

The data scientist resume objective is the better option for a junior data scientist resume. An entry level candidate can write about their career motivation for applying to the company, on top of their top data science skills and relevant experiences.

It is essential that you keep both versions of this section brief and concise. Keep the data scientist summary or objective to just a few sentences long.

Professional Summary Data Scientist Example

CORRECT

Summary

Experienced Senior Database Administrator with 10-year background in database design and administration. Experience modeling and storing data, developing enterprise architecture, and designing data collection methods. Skilled at ascertaining valuable business intelligence from complex datasets. Highly proficient in machine learning software and Python programming languages. Quick learner with ability to solve complex problems. Strong collaborator, team-oriented, and outstanding oral and written communication skills.

Resume Objective Example

CORRECT

Objective

Experienced management professional with a can-do attitude. Passionate about analyzing data to gather meaningful insights using MS Excel, SQL, Tableau and Python. Being in a multinational environment, I like working with diverse teams and learning from their perspectives in order to achieve a greater result, together.

Resume of Data Scientist in Text Format

ATHARVA GILL

DATA SCIENTIST — leveraging 4+ years of experience

Data Scientist with 4+ years of experience architecting technology 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

PROFILE SUMMARY

• Proficient in mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Highly skilled in using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Skilled in coordinating with different functional teams to implement models and monitor outcomes.
• Adept in developing processes and tools to monitor and analyze model performance and data accuracy

CORE COMPETENCIES

• Data Analysis 
• Data Visualization
• Machine Learning
• Modelling
• Statistics
• Quantitative Analysis

PROFESSIONAL EXPERIENCE

ICS, Pune Apr. 2019 – Present 

Data Scientist 

• Develop action plans to mitigate risks in decision making while increasing profitability by leveraging data science.
• Drive the interaction and partnership between the managers to ensure active cooperation in identifying as well as defining analytical needs and generating the pull-through of insights with the business.
• Develop algorithms using Natural Language Processing and Deep Learning Models for predictive maintenance
• Build predictive models using various machine learning tools to predict the possibility of equipment failure.
• Demonstrate knowledge and execution of application programming interface development and test automation 
• Design algorithms to track and detect anomalies in multiple sensors data for the industry 

NatWest Group, Pune Dec 2017- Mar.2019 

Data Scientist 

• Integrated all stages of design, build, analysis, coding, testing, and integration of structured and unstructured to deploy a new data and analytics platform for 3D design of orthotics and prosthetics (O&P).
• Developed new business intelligence capabilities through sourcing, loading, synthesizing, and reporting new metrics and analytics and develop sustainable maintenance processes.
• Assured designs and project activities  in compliance with data policies, architecture, security and quality guidelines and standards.
• Drove innovation and integration of new technologies into organization with wide projects and activities.
• Lead maintenance and adaptation of existing tools and reports to support business management processes and performance management.

ACADEMIC CREDENTIALS 

Bachelor’s of Science in Computer Science | Kurukshetra University | 2017

Certificates: IBM Data Science- Coursera Certificate | Google Certified Professional Data Engineer – GCP | Microsoft Professional Program Certificate in Data Science | Deep Learning — Coursera Certificate

Technical Skill : Python , R , SQL , Java , Julia

PERSONAL DOSSIER

Languages Known : English & Hindi 

~References and other document’s available upon request ~

Tags

Data Scientist Resume Sample, Resume Examples 2021

Cover Letter

Providing a cover letter with your job application is an important step and can often make the difference between getting a callback or not. It should be written in 2 to 4 paragraphs, focusing on why you are the ideal candidate for the role.

Cover letters give you a chance to explain more about yourself than what’s included in your resume, allowing recruiters to understand who you really are beyond just qualifications and experience. They also provide an opportunity for you to demonstrate your enthusiasm for the company and position applied for which can help convince them that they need to meet with you!

Below is an example cover letter:

Data Scientist Resume Contact Information

Let’s start our resume with one of the most clear-cut sections—your contact information. You should place the following details in your resume header:

• Your name and role

• Phone number

Adding your location is an outdated practice due to security reasons and should only be used if you’re applying for a job abroad. What you can consider adding to your data scientist resume are LinkedIn and Github profiles, for example.

Here’s an example:

Contact Information Example

Copy to clipboard

Susan Jackson

Data Scientist

+ 276 694 7482

[email protected]

Stuart, VA

linkedin.com/in/susanjackson77

github.com/susan.jackson

Resume layout and design: clarity over creativity

As a data scientist, you know that the message is more important than an ornate design. Use this philosophy to develop the look of your resume. This is a visual representation of your professional personality, so be sure to reflect that.

Expert tip

Check for typos, save your resume as a PDF file, and scan for formatting errors. Even tech-savvy professionals can slip up. Don’t be one of them!

The main idea is to keep your resume document legible. Recruiters will spend only seconds scanning for information and getting an impression of who you are. If your resume features big blocks of type or a confusing layout, it is likely to end up in the garbage. Here are a few rules of thumb:

• Vary your line lengths.
• Use bulleted lists instead of paragraphs.
• Limit the amount and brightness of color.
• Make sure your contact information, skills, and job titles are easy to find.
• Avoid using tables or placing important information in headers and footers that the ATS likely can’t read.

Start with one of the field-tested resume templates from Resume.io’s four style categories: Simple, Creative, Modern, or Professional. If you choose to modify the design elements or formatting in any way, make sure you don’t overdo the color or change the font to one that is harder to read.

Junior Data Scientist Resume Experience Section: Demonstrating Skills

The experience section is crucial for showcasing your skills as a Junior Data Scientist. Follow these guidelines:

• List any internships, part-time roles, or projects in reverse chronological order, starting with the most recent.
• Include the names of companies or institutions, your job titles, and the dates of your experience for each entry.
• Provide a detailed description of your responsibilities and accomplishments, focusing on data science projects and tools you’ve used.
• Showcase specific projects you’ve worked on, detailing your role in data cleaning, analysis, model development, and the communication of findings.
• Quantify your achievements where possible, such as improvements in model accuracy or the impact of your data-driven insights.

Data Scientist Resume Work Experience

As it’s usually the most important section, the previous work experience information is what recruiters will pay attention to first when looking at your data scientist resume.

General Tips

For starters, there’s a clear formula to follow when adding your past jobs to your resume. It goes as follows:

• Your role

• The company and its location

• Duration of employment

• Bullet points with your achievements and results obtained

You want to make the most out of your bullet list, which is why you shouldn’t list just any task or responsibility. Instead, you should have 3–5 bullet points for each previous job that demonstrate something impressive.

Think of the times you exceeded expectations, KPIs, or benchmarks. Use numbers, percentages, and statistics to quantify the results obtained and make them more concrete in the eyes of recruiters.

Moreover, try to work in some catchy and memorable action verbs and power words. Terms like “diagnosed,” “enhanced,” “executed,” and “implemented” stand out and are bound to make your accomplishments notable.

Data Scientist With No Experience

Even if you don’t have a professional history in the field of data science, you can still make an irresistible work experience section. The only difference is that you’ll be using substitute endeavors, such as internships, freelance work, volunteer experience, and even college projects.

Here’s how a candidate leveraged their internship to create a remarkable work experience section:

Data Scientist Intern

Copy to clipboard

Work Experience

Data Scientist Intern

SolutionTech

Seattle, WA

May 2022–December 2022

• Utilized Python to build machine learning models that predict customer churn, achieving an 87% accuracy rate.

• Conducted A/B website layout and content testing to implement changes that resulted in an 11% traffic increase and a 5% conversion rate boost.

• Developed a new product recommendation system in collaboration with cross-functional teams to increase the average order value per customer by 13%.

Experienced Data Scientist

A senior data scientist resume should show what results all those years of experience have brought. As much as two-thirds of your resume can be dedicated to this section if you have multiple jobs to list in reverse-chronological order.

When including your achievements, focus on those that show how your employers benefited from your extraordinary abilities.

Let’s see that in an example:

Senior Data Analyst

Copy to clipboard

Work Experience

Senior Data Scientist

Novitec

Brooklyn, NY

July 2018–Current

• Utilized machine learning algorithms to create an automated fraud detection system, reducing fraudulent transactions by 75% and saving the company $4.5 million annually.

• Spearheaded the development of a personalized recommendation engine using deep learning to boost customer retention by 17% and increase the average order value by 27%.

• Trained and mentored up to 7 junior data scientists and engineers per year, which led to faster skill development and an overall boost to the company’s productivity.

Start with Contact information in the Data Scientist Resume

Because of the fact that the candidate pool will be large for most data science jobs, it will be up to you to show the hiring manager how you can benefit the company and persuade them that you’re the best person for the job.

However, before you can do all that, you’re going to need to show the company how to get in touch with you.

The contact information section will be your opportunity to provide all of the necessary data about your contact details.

Make sure to start this section with your name. Write your name at the very top of the data science resume and make it appear larger than the rest of the text.

We recommend using Arial or Times New Roman style and font size 14 — 16. Your name is the title of your CV.

Conclusion

With the above-mentioned points and provided sample, you should be now able to build a solid Data Science resume for freshers or professionals both. You can additionally also check out some sample career objectives that you can mention. This is completely up to you as many data scientists prefer to not mention their career objectives.However, in many cases, employers do wish to learn about your future goals and aspirations. Career objectives help recruiters compare what they need or expect from you and what you expect from the company, thus, allowing them to find a common objective to initiate your employment process.

If you are new at this, or just want to learn more about how to build the perfect resume then you should check out Board Infinity’s free resume builder course. Whether you are a fresher, student, or a working professional, this course is for everyone. Learn how to write a strong resume, find new resume formats, understand the action words and skills you should use in your resume, as well as find sample resume templates. Take this course and create a perfect resume for the job of your dreams.

Introduction to TopResume: Professional resume writers

TopResume’s resume writers are more than just experts in the art of crafting compelling narratives for job seekers. They’re also some of the industry’s top experts in career planning, job search strategies, and coaching. Each member of our team is dedicated to helping you to succeed in reaching your career objectives and understands how important it is for your resume to capture the attention and interest of every hiring manager who sees it.

The TopResume resume creation process is second to none. The experienced writer tasked with crafting your resume narrative will work closely with you at every step of the way, to ensure that the final product conveys the message you need to be successful in your job search. When that process is complete, you will have a tailored resume that powerfully showcases your skills, relevant experience, achievements, and value as an employee.

About the Resume Guide

With better technology comes the need for specialized data professionals who can utilize this wealth of data to carve out productive insights. Landing a data scientist job is definitely a plus point to grab opportunities for the future and beyond. The real question is HOW? Data Scientist Resume — one of the most essential requirements when it comes to your next data scientist job search.

Crafting an impactful resume is crucial to showcasing your skills and experience as a data scientist. Our comprehensive data scientist resume sample pdf guide is designed to help you create a standout resume that grabs the attention of hiring managers in the competitive field of data science.

In this data science resume pdf guide, you’ll learn:

• How to structure your data scientist resume for maximum impact
• Essential sections to include, such as summary, skills, experience, and education
• Tips for highlighting your technical expertise and data science projects
• Guidance on quantifying your achievements and demonstrating the impact of your work
• Best practices for tailoring your resume to different job opportunities

We understand the unique challenges faced by data scientists in the job market, and our data science resume pdf guide is packed with insider tips and examples to help you present your qualifications effectively. And as a bonus, we’ve included a sample data scientist resume template that you can customize to fit your own experience and skills.

On the other hand you can also enhance your resume by enrolling in our top data science programs and adding another shining star to it. The following programs can help you:

1. Data Scientist Master’s Program

Accelerate your career with the exclusive Data Scientist Master’s Programand experience world-class training by an industry leader on the most in-demand Data Science skills. Gain hands-on exposure to key technologies including R, SAS, Python, Tableau, Hadoop, and become an expert Data Scientist today.

Learn Everything You Need to Know About Data!

Post Graduate Program In Data EngineeringExplore Course

2. Caltech Post Graduate Program In Data Science

With this comprehensive program on data science, built and delivered in partnership with Caltech CTME learners will learn how to make data-driven decisions. The program comprises in-depth learning on critical topics, including, but not limited to, Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization and so much more.

The Ultimate Ticket to Top Data Science Job Roles

Post Graduate Program In Data ScienceExplore Now

Ready to take your data scientist resume to the next level? Download our free data scientist resume sample pdf guide today and make a lasting impression on potential employers!

About the Author

Nikita Duggal

Nikita Duggal is a passionate digital marketer with a major in English language and literature, a word connoisseur who loves writing about raging technologies, digital marketing, and career conundrums.

View More

Other Sections to Include on Your Junior Data Scientist Resume

In addition to the essential sections mentioned above, consider adding these sections to make your Junior Data Scientist resume stand out:

• Projects Portfolio — Create a link to an online portfolio showcasing your best data science projects, providing tangible examples of your skills and style.
• Awards or Recognitions — Mention any awards or recognitions you’ve received for your data science work or contributions to successful projects.
• Skills Matrix — Create a visual representation of your skills, showcasing your proficiency in data science tools, programming languages, and machine learning techniques.
• Professional Memberships — If you are a member of data science or related organizations, include this information to highlight your involvement in the professional community.

Data Scientist Resume Format

Companies prefer people with experience. The job of a Data Scientist isn’t easy. Big Data is very important for business. How you analyze it can make or break a company. If you have experience, use the reverse chronological for your Data Scientist resume format.

Hiring managers don’t spend time with resumes. They are experts at scanning for details. This is why the reverse chronological is important. It will showcase your most recent experiences and achievements. With this format, you start out with your latest data then work your way back.

Next, review our sample format for Data Scientist resume. We arranged the sections as follows:

• Contact Information
• Objective Statement
• Skills
• Work Experience
• Education
• Certifications
• Personal Information

Placing experience in the middle will give it more attention from the recruiter. The information will be supported by the preceding sections.

Certifications

Certifications are an important part of any resume, as they demonstrate to potential employers that you have the necessary skills and knowledge for a given job. Having certifications in your field shows that you are committed to staying up-to-date with industry trends and best practices.

Including relevant certifications on your resume can help set you apart from other applicants by showing hiring managers that you possess the qualifications needed for the position. Be sure to list all applicable certificates or licenses so recruiters know exactly what kind of expertise you bring to the table.

Tips for Writing a Better Lyft Data Scientist Resume

1. Tailor your resume to the job description: Carefully read the job description for the Lyft Data Scientist position and make sure your resume highlights your relevant skills, experience, and accomplishments that align with the requirements. Use keywords from the job posting in your resume to show that you are a good fit for the role.

2. Start with a strong summary statement: Begin your resume with a brief summary statement that showcases your expertise as a data scientist and how you can contribute to Lyft’s success. This statement should be tailored to the specific requirements of the Lyft Data Scientist role.

3. Highlight your technical skills: As a data scientist, you need to have strong technical skills such as programming languages (Python, R), data visualization tools (Tableau, ggplot), machine learning libraries (scikit-learn, TensorFlow), and big data platforms (Hadoop, Spark). Make sure to list these skills prominently on your resume.

4. Showcase relevant projects and accomplishments: Describe any projects or accomplishments that demonstrate your ability to analyze complex data sets, build predictive models, and communicate insights effectively. Be specific about what you did in each project, what tools or techniques you used, and what impact it had on the organization.

5. Focus on results: Quantify your achievements by providing concrete numbers or percentages whenever possible. For example, instead of saying «improved marketing campaign performance,» say «increased marketing campaign ROI by 25% through advanced customer segmentation.»

6. Include education and certifications: List any relevant degrees or certifications related to data science or analytics (e.g., Bachelor’s/Master’s degree in Computer Science/Statistics/Mathematics/Data Science; Certified Data Scientist).

7. Emphasize teamwork and communication skills: As a data scientist at Lyft, you will likely collaborate with cross-functional teams such as product managers, engineers, designers, and marketers. Highlight instances where you worked effectively within a team setting or communicated complex data insights to non-technical stakeholders.

8. Keep it concise and well-organized: Limit your resume to one or two pages, using clear headings and bullet points to make it easy for recruiters to skim through. Use a clean, professional font and layout, with ample white space to create a polished appearance.

9. Proofread and edit: Double-check your resume for spelling, grammar, punctuation, and formatting errors before submitting it. Consider asking a trusted friend or colleague to review it as well.

10. Customize your resume for each application: While you can use the same basic template for each job application, make sure to tailor the content of your resume based on the specific requirements of each position. This will increase your chances of getting noticed by recruiters and landing interviews at Lyft.

Related: Data Scientist Resume Examples