The term "data science" has become popular recently with the implementati
on of technology in every corner of our lives. It's a fusi
on of algorithms, tools, and machine learning principles that extract informati
on from hidden patterns in its raw data form. Data scientists "wrangle" big data to make relevant discoveries for businesses, helping them achieve their goals. In additi
on, they combine programming, statistics, analytics, and math to create algorithms, design data modeling processes, and build machine learning pipelines to better understand their customer base and competitors.
Despite how skill-related a data scientist's job is, just having the skills is not enough. A precisely tailored data scientist
resume is also essential to ensure that you stand out am
ong other applicants and leave a good impressi
on on hiring managers.Table of C
ontents
Before You Start Writing Your
Resume
What Should Your Data Scientist
Resume Look Like?
6 Data Scientist
Resume Templates Samples
Key Takeaways
Before You Start Writing Your
Resume
Before you enter your "job-hunting mode," it's important to note several elements to take note of and know to enhance your overall
resume writing experience.Step 1: Understand the Differences Between a Curriculum Vitae (Cv) and a
Resume
Data scientist CV and data scientist
resume, are there any differences? Although both are interchangeable terms in some instances, it's vital to know the differences to avoid submitting the wr
ong kind to your prospective employer.A data scientist CV:is more detailed and has a simple structureis over 2 pages l
ongand mostly used in academia, medicine, or science fieldsA data scientist
resumeemphasizes more
on relevant informati
on for a specific job and has various layoutsis within 2 pages l
ongand primarily used for a job applicati
on
💡 Pro Tip: Double-check if the job ad has requested a data scientist CV or a data scientist
resume. Format them accordingly before submitting your document.
Step 2:Choose the Right Data Scientist
Resume FormatThey say that you shouldn't judge a book by its cover, but a hiring manager WILL judge you by your
resume. For your data scientist
resume, there are different data scientist
resume formats that you can use: chr
onological, functi
onal, hybrid/combinati
on, and targeted. Ensure that the format of your picking is suitable for both your data science-related experiences and the job itself.Step 3:Look Up Data Scientist
Resume Templates Examples
Online as
References
If you're unsure of how to start writing your
resume, you can look up
resume templates and data scientist
resume examples
online as
references. Remember to keep a lookout for both the str
ong points to emulate and weak points to avoid in these data science
resume examples. D
on't copy and paste these
references' c
ontent, adjust it to your own specific experiences and the job descripti
on itself.
Step 4: Tailor Your
Resume for the Data Scientist JobYour data scientist
resume should never be a "
one-size-fits-all"
resume. Thus, it's best not to use an entry-level data scientist
resume for a positi
on that requires you to possess extensive experience. Your past
resumes can be a starting point, but you should always c
ontinuously add your relevant data science-related resp
onsibilities and achievements to your
resume. By the time you're close to the top of your career ladder, you should be able to build an experienced data scientist
resume.Step 5:D
on't Forget to Add a Data Scientist Cover Letter
Similar to your
resume, tailor your cover letter for a data scientist positi
on instead of making a general cover letter. A cover letter is your chance to showcase your enthusiasm and explain why and how your profile and data science skills make you a great fit in their company's data scientist role.Step 6:Proofread
As tedious as proofreading may be, it's a necessary extra step that you should take to ensure that no careless spelling or grammatical mistake exists
on your data scientist
resume.
What Should Your Data Scientist
Resume Look Like?Created by Cake
1.
Resume Profile (Pers
onal Informati
on)Before you write any other secti
ons, adding your pers
onal informati
on at the beginning of your
resume so that the recruiters know how to c
ontact you.Always IncludeFull nameProfessi
onal title can give your prospective employer an idea of how experienced you are as a data scientist.E-mail addressPh
one numberAddress (city, state, and country)You should not do these:Current salary:Putting out a number too early may lessen your bargaining power when discussing your salary.Social Security number/Nati
onal Insurance Number:
Only required AFTER you get hired.Private informati
on (e.g. sexual orientati
on, race, photograph):Your private life is irrelevant to the job positi
on; exclude them to avoid potential hiring bias or discriminati
on.
2.
Resume Headline for Data Scientist
A data scientist
resume headline is a
one-line and c
oncise descripti
on to quickly inform the hiring manager of who you are, your strengths and relevant experience, and why you're the perfect fit for the positi
on. Use keywords that you may find in the job advertisement.
Data Scientist
Resume —
Resume Headline Examples
Highly Experienced Data Scientist with 10+ Years of Experience in the Healthcare IndustryDetail-Oriented Senior Data Scientist with Experience in Data Mining
3. Data Scientist
Resume Summary
A data scientist
resume summary is a c
ontinuati
on of your
resume headline. Ideally, it's around 2-3 sentences highlighting your data science skills, experience, and qualificati
ons.
Data Scientist
Resume —
Resume Summary Example
Business-minded data scientist with the ability to deliver insights via data analytics and mining. Achievements include creating models to predict stock prices with 30% more accuracy than the historical average, increasing investment returns by 23%.
4. Career Objective for a Data ScientistWhat is your career objective as a data scientist? Your
resume objective should answer this in 2-3 sentences. You can incorporate this in your
resume summary.
Data Scientist
Resume — Career Objective Example
Experienced data scientist with robust statistical analysis and research skills. Seeking for the positi
on of Data Scientist with XYZ Inc., offering 4+ years of experience utilizing statistical modeling and machine learning techniques.
5. Skills for a Data Scientist
ResumeYour skillset is
one of your main selling points as a data scientist candidate. The skills that you possess serve as an indicator for the hiring manager of your potential fit for the positi
on. Your listed skills for a data scientist
resume should be relevant and be kept short. If you're still unsure, you might find it helpful to look
online for a data scientist
resume sample or refer to the job descripti
on. You might find plenty of companies requiring candidates to be proficient in programming languages such as Pyth
on for a data science entry-level job, and an understanding of NLP for a data science senior level job; these are keywords that you should include if you do possess said skills to make you more valuable as a candidate.Data Scientist
Resume — Skills Secti
on ExampleProgramming Language: Pyth
on, C++, RData Visualizati
on: Tableau, Power BICommunicati
on skills: Presentati
on, Public Speaking
6. Work Experience
The experience secti
on is definitive proof of your suitability and qualificati
ons for the role, especially for a senior data scientist
resume. Include your previous organizati
ons' names, job titles, brief descripti
ons of resp
onsibilities, achievements, and employment period in your data scientist
resume.
Data Scientist
Resume — Work Experience Secti
on Example
Junior Data Scientist,XYZ Inc., Jan. 2012 - Apr. 2019
Enhanced data mining processes, reducing the time required to extract acti
onable insights from customer data by 27%, enabling faster development of targeted marketing campaigns and strategies.Collaborated with cross-functi
onal teams to design and implement predictive models, improving decisi
on-making in customer segmentati
on and campaign optimizati
on.Utilized statistical analysis and machine learning techniques to identify trends and patterns, driving data-driven strategies for customer engagement and retenti
on.Developed and maintained dashboards for real-time data m
onitoring, providing key stakeholders with timely insights to support business objectives.
📚 Further reading: Data Analyst vs Data Scientist: Which Career Is Right for You?7. Educati
on
Your educati
on is formal proof of your skills and credentials; this is especially crucial if you're building a data science student
resume, a data science intern
resume, a data science fresher
resume, or a data science
resume with no experience.Combined with experience (if any), it can make an entry-level data scientist
resume look even better.💡 Pro Tip:Include your school, degree, major, coursework, year of graduati
on, h
onors and awards, GPA, and extracurricular activities (if applicable).Want to get into data science? Read this article —How to Get Into Data Science: Skills Tools to Learn, Career Opti
ons, Salary Guide 2025.
8. Additi
onal Informati
on: Certificati
on
Although your data science skills are mainly attested by the projects you have d
one and/or your previous work experience, there are data science certificati
ons that can help you stick out from the crowd. Including certificati
ons can help improve your data science
resume. Some certificates that you can c
onsider are:Microsoft Certified: Azure Data Scientist AssociateSAS Certified Data ScientistOpen Certified Data Scienti st (Open CDS)Data Science Council of America📚 Further reading: Data Scientist vs Data Engineer: What’s the Right Career Choice for You?Extra Tips for Writing The Best Data Science
ResumeTip 1—Customize the
resume for data scientist positi
ons:You shouldn’t use the same
resume for every applicati
on, even if the positi
ons are of equal standing. Adjust your data scientist
resume accordingly to the job descripti
on to exclude irrelevant details.Tip 2—Quantify results in your data science
resume:Use numbers and statistics to show your achievements as a data scientist instead of putting them in a qualitative format to make your accomplishments seem more apparent and more c
onvincing.Tip 3—Choose an ATS-friendly
resume layout:No matter how pretty some fancy data science
resume formats may be, it's best not to use them as applicant tracking software (ATS) cannot identify templates with too many visuals.Tip 4—Adopt
resume acti
on words (verbs):Acti
on verbs can instantly provide informati
on about you in an employer's mind.Tip 5—GitHub is your best friend:Your past projects are an asset as it's a testament to your data science skills; it lets the prospective employer know that you know what you're doing. Uploading your relevant projects to GitHub can strengthen a data science fresher
resume or even a data science
resume with no experience.6 Data Scientist
Resume Templates Samples1)Entry Level Data Scientist
Resume Sample
MELANIE
[email protected] | 555 5555 5555 | Rochester, NY
Detail-oriented data science graduate with a str
ong foundati
on in data analysis, seeking to leverage technical expertise to make data-driven decisi
ons.
SUMMARY
Entry level data scientist with experience in data visualizati
on software and programming languages. Successfully finished projects in data mining and machine learning techniques. Holds certificati
ons from IBM and Microsoft. Skilled in acquiring acti
onable insights to support data-based decisi
ons.
TECHNICAL SKILLS
Data Visualizati
on: Tableau, Power BProgramming Languages: Pyth
on, SQL, RDatabases: MySQL, SQLiteNatural Language ProcessingData Wrangling
PROFESSI
ONAL EXPERIENCEData Science Intern,The Retail Place, New York,June 2022 - June 2024Collaborated with cross-functi
onal teams to build predictive models for customer attriti
on analysis using logistic regressi
on.Analyzed customer data using SQL to inform decisi
ons that reduce customer churn.Designed visualizati
ons in Tableau to track customer trends and allow m
onitoring in real time.PROJECTS
Retail Sales Projecti
ons(2024)
Developed and executed a forecasting model to project m
onthly retail sales, using SARIMA in Pyth
on.Created detailed data visualizati
ons predicting sales trends and projecti
ons.Presented acti
onable insights to enhance inventory planning.
Real Estate Prices Predictive Modeling (2023)
Created a machine learning model to predict housing prices based
on c
onditi
ons like locati
on and size.Used Polars to preprocess data and address missing values and outliers.
Product Recommendati
on System (2023)
Created a filter-based system to recommend products based
on shopping cart item similarities and user demographics.Used hyperparameter tweaking and data preprocessing to improve algorithm efficiency and accuracy.
EDUCATI
ON
Bachelor of Science in Data ScienceVassar College, New YorkSept. 2018-June 2022
CERTIFICATI
ONS
IBM Data Science Professi
onal Certificate (2022)Azure AI Fundamentals (2023)
2) Mid-Level Data Scientist
Resume Sample
Elena Merril
[email protected]989 989 9888Rochester, NYData scientist with 5 years of experience developing data integrati
on for large healthcare corporati
ons. Successfully implemented predictive models to identify high-risk patients and improve post-surgical outcomes. Collaborated with healthcare administrati
on and data science teams to meet project goals.
Professi
onal Experience
Data Scientist,RealHealth Data, Phoenix, AZ,May 2019 - January 2023
Developed and implemented predictive models using logistic regressi
on to identify high-risk patients and reduce post-surgical readmissi
on by 17%.Used Cloud platforms including Vertex AI to m
onitor patient health trends.C
onducted A/B testing for a variety of patient compliance projects like appointment reminders.Maintained patient c
onfidentiality and ensured compliance with regulatory healthcare privacy standards.
Data Science Intern,My Health Data, Phoenix, AZ,July 2017 - April 2019
Performed sentiment analysis
on patient satisfacti
on using survey data, creating acti
onable insights to improve patient fulfillment.Assisted data science team in automating data cleaning pipeline for patient health data.Developed data dashboards in Tableau to visualize patient outcomes and resource management.
Key Skills
Pyth
on, SQL, RData visualizati
on, including Tableau and Power BICloud computing, including Hadoop and SparkMachine learning
Certificati
ons
Certified Analytics Professi
onal (2020)
Educati
on
Master’s in Machine LearningAriz
ona Western College, AZSeptember 2017 - June 2019
Bachelor’s in Applied Computer ScienceUniversity of Michigan, MISeptember 2013 - June 2017
3) Senior Data Scientist
Resume Sample
JACOB
[email protected] | 543 543 5435 | Tampa, FL
SUMMARYResults-driven senior data scientist with over 10 years of experience in improving business outcomes using statistical analysis and machine learning. Expertise in natural language processing and predictive modeling. Implemented a customer segmentati
on and pers
onalized marketing optimizati
on project using insights from c
onsumer data. Experienced in leading cross-functi
onal teams and mentoring junior data scientists.
PROFESSI
ONAL EXPERIENCE
SENIOR DATA SCIENTISTCustomerWise, Tallahassee, FLMarch 2017 - August 2022
Designed and scaled data pipelines to analyze c
onsumer transacti
on data using Hadoop.Designed product recommendati
ons algorithm for a major retail brand that increased sales by 14%.Created and presented data visualizati
ons and recommendati
ons to relevant stakeholders.Participated in company mentoring program to coach 6 junior data scientists by offering feedback and guidance, nourishing a culture of collaborati
on.
DATA SCIENTISTRealtime Data, Denver, COSeptember 2014 - February 2017
Optimized marketing campaigns through customer segmentati
on models, leading to higher c
onversi
on rates.Performed sentiment analysis
on social media engagement using NLP techniques.Collaborated with marketing team to c
onduct A/B testing of email marketing campaigns and analyze customer engagement metrics.
JUNIOR DATA SCIENTISTDataMine, Denver, COMarch 2012 - July 2014
Preprocessed c
onsumer telecommunicati
ons data using data cleaning and reducti
on.Collaborated with cross-functi
onal teams
on the development of machine learning models for predicting customer churn.Prepared data reports and presentati
ons for senior data team meetings.
TECHNICAL SKILLS
Machine learningData visualizati
onData engineeringProgramming languages
EDUCATI
ON
MASTER’S IN DATA ENGINEERINGNorthwestern University, ILJanuary 2015 - December 2016
BACHELOR’S IN DATA SCIENCEUniversity of Chicago, ILSeptember 2007 - June 2011
CERTIFICATI
ONS
Open CDSSAS Certified Data ScientistTensorFlow Developer Certificate
4) Pyth
on Data Scientist
Resume Sample
SAUL
[email protected] | 123 123 1234 | Houst
on, TX
SUMMARYData scientist with 6+ years of experience leveraging Pyth
on to optimize data-driven decisi
ons. Proficient in Pyth
on for machine learning and data analysis. Experienced in using big data tools, including Apache and Hadoop, to handle large datasets. Expertise in designing predictive models and automating workflows.
TECHNICAL SKILLS
Pyth
on, SQLHadoop, ApacheTableau, MatplotlibMachine learningGoogle Cloud
WORK EXPERIENCE
DATA SCIENTISTThe Data Place, Houst
on, TXJanuary 2021 - May 2024
Used Pyth
on to develop a fraud detecti
on system that reduced fraud-related financial losses by 22% over 3 years.Designed interactive dashboards
on Tableau to visualize sales trends and predictive modeling for company stakeholders.Automated data preprocessing pipelines using SQL.
DATA ANALYSTDefine Data, Austin, TXAugust 2018 - November 2020
Implemented time series forecasting models using Pyth
on for inventory management, reducing inventory shortages.C
onducted EDA and created visualizati
ons to dem
onstrate findings for key strategic management.
JUNIOR DATA SCIENTISTThe Big Data Company, Little Rock, ARMarch 2017 - June 2018
Developed Pyth
on scripts using Pandas to preprocess datasets and reduce inc
onsistencies.Built a linear regressi
on model to predict sales trends, reducing predicti
on error by 15% during model testing.Collaborated with senior data scientists to automate data extracti
on and transformati
on workflows.
CERTIFICATI
ON
Certified Associate Pyth
on Programmer (2018)
EDUCATI
ON
BACHELOR’S OF SCIENCE IN DATA SCIENCEUniversity of ArkansasSeptember 2012 - December 20165) NLP Data Scientist
Resume Sample
ISAAC ROBERTS
ONroberts
on[email protected] | 123 456 7890 | Portland, OR
SUMMARYData scientist with over 6 years of experience in Natural Language Processing (NLP). Expertise in sentiment analysis and language modeling soluti
ons. Proficient in transformer models and data preprocessing. Led cross-functi
onal teams to deliver acti
onable insights and NLP recommendati
ons.
KEY SKILLS
NLP Tools: Hugging Face Transformers, GensimProgramming languages: SQL, R, Pyth
onMachine learning: TensorFlow, PyTorchData Visualizati
on: Matplotlib, PlotlyCloud Platform: Google Cloud, AWS
PROFESSI
ONAL EXPERIENCE
LEAD NLP DATA SCIENTISTLinked Science, Portland, ORJuly 2020 - October 2024
Built a sentiment analysis model to measure product reviews
on major retail sites.Implemented topic modeling with LDA to analyze customer feedback and better inform marketing strategies.Used BERT to create a text classificati
on model aimed at identifying customer requests in support tickets, reducing issue resoluti
on time by 20%.Set up NLP models using Docker and AWS SageMaker to handle large-scale data and deliver results in real time.
DATA ANALYSTLoosely Data, Portland, ORFebruary 2018 - June 2020
C
onducted EDA
on customer data and applied keyword extracti
on algorithms to identify trends.Used Pyth
on to automate the process of extracting business insights from customer chat logs.Presented text analytics findings and data visualizati
ons at stakeholder meetings.
EDUCATI
ON
MASTER OF SCIENCE IN DATA SCIENCEPortland State University, ORSeptember 2018 - June 2020
BACHELOR OF SCIENCE IN DATA ENGINEERINGUniversity of Washingt
on, Seattle, WASeptember 2014 - June 20186)Associate Data Scientist
Resume Sample
JAMES SIMPS
ONsimps
on[email protected] | 222 222 2222 | Baltimore, MD
SUMMARYInnovative associate data scientist with a foundati
on in data analysis, predictive modeling, and machine learning. Skilled in transforming and cleaning raw data and implementing machine learning algorithms to resolve business challenges. Experienced in programming languages and cloud technologies.
WORK EXPERIENCE
ASSOCIATE DATA SCIENTISTDataSetting, Baltimore, MDJuly 2019 - November 2022
Performed feature extracti
on and data preprocessing
on datasets to enhance model performance.Built and deployed machine learning models to refine marketing strategies, boosting customer engagement by 20%.C
onducted A/B experiments to evaluate the impact of new features, improving c
onversi
on rates.
ASSOCIATE DATA SCIENTISTGood Retail Data, Baltimore, MDMarch 2017 - May 2019
Improved customer retenti
on by 13% over years by applying machine learning models to predict customer churn.Cleaned, preprocessed, and analyzed large datasets using Pyth
on and SQL.Developed and implemented predictive models for sales forecasting using time series analysis.
DATA ANALYST INTERNLearn Data Science, Philadelphia, PAApril 2016 - January 2017
Performed exploratory data analysis and model development using Pyth
on.Collaborated with data engineers to create predictive models and automate data pipelines in AWS.Used Tableau to create interactive data visualizati
ons and reports for key stakeholders.
TECHNICAL SKILLS
Machine learningQuery Languages: Pyth
on, SQLLibraries: Scikit-learn, TensorFlowTools: Jupyter, PyCharm, Excel, TableauDatabases: SQL Server, MySQL
CERTIFICATI
ONS
AWS Certified Soluti
ons Architect (2020)Data Science Professi
onal Certificate, Coursera (2019)
EDUCATI
ON
BACHELOR OF SCIENCE IN COMPUTER SCIENCEUniversity of Pennsylvania, Philadelphia, PASeptember 2012 - June 2016Want to write a data scientist cover letter? Check out this article of ours.Key TakeawaysWhen writing a data scientist
resume, it's important to tailor it to each specific role, highlighting relevant skills and experiences that align with the job descripti
on. Showcase key technical skills such as Pyth
on, R, SQL, and machine learning frameworks, al
ong with data visualizati
on tools. Quantify the impact of your work with metrics, like "improved customer retenti
on by 15%," to dem
onstrate your c
ontributi
ons. Focus
on how your work solved business problems and drove decisi
ons, and use str
ong acti
on verbs like "developed" and "analyzed" to describe your achievements. Highlight c
ontinuous learning by listing certificati
ons or relevant courses, and keep your
resume c
oncise—
one to two pages of impactful informati
on. Finally, balance technical skills with soft skills like teamwork and communicati
on, as they are crucial for effectively collaborating and presenting insights. Remember, your
resume is an opportunity to showcase your unique value, so be c
onfident and emphasize how your skills can c
ontribute to business success. You’ve got this!
Cake provides the right data scientist
resume templates formats for data scientist to showcase their skills and experiences. Sign up to create the best data scientist
resume with our
online
resume builderfor free!Try It Out— Written by Patricia Rosita Tiffany Quinn —