7 Entry Level Data Scientist Resume Examples for 2024

Landing your first job as an entry-level data scientist means presenting a resume that shows your skills clearly. This article guides you through crafting a resume that hiring managers will notice. Find examples and tips to highlight your data analysis, programming, and statistical skills. Learn how to organize your qualifications, projects, and education to start your data science career.

  Compiled and approved by Liz Bowen
  Last updated on See history of changes

  Next update scheduled for

At a Glance

Here's what we see in standout entry-level data scientist resumes.

  • Show Impact With Numbers: The best resumes show clear impact with accuracy improvements, time savings, cost reductions, and efficiency gains. These metrics help you show the value you can bring to the role.

  • Match Skills To The Job Description: Include skills you have that match the job description. Highlight tools or techniques such as Python, R, SQL, Machine Learning, and Data Visualization.

  • Current Industry Trends: Stay updated with trends such as automated data cleaning. Show that you're ready to adapt and apply these in your role.

Example #1

Entry Level Data Scientist
Resume Sample

Your Name
Entry Level Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Coached.com May 2020 - Present
Junior Data Analyst
Implemented Python for data cleaning and pre-processing, resulting in a 30% increase in efficiency.
Designed visualizations using Tableau that led to relevant insights for business decisions.
Conducted A/B Testing leading to 15% conversion rate improvement.
Resume Worded January 2020 - April 2020
Data Science Intern
Automated process of data extraction using SQL which reduced time by 25%.
Utilized machine learning algorithm in processing client data, improving accuracy by 20%.
Harvard University September 2019 - December 2019
Research Assistant
Developed statistical models for research data using R, improving data analysis process.
Published research findings in a reputed scientific journal.
Resume Worded University May 2020
Master of Science in Data Science
Thesis on Predictive Analytics and Machine Learning
Part-time program completed alongside Junior Data Analyst role
Resume Worded Institute June 2019
Bachelor of Science in Applied Mathematics
Focused coursework in Statistical Analysis
Graduated with Cum Laude honors
Programming Languages: Python (Advanced), R (Intermediate), SQL (Intermediate), Java (Basic), C++ (Basic), MATLAB (Basic)
Data Analysis Tools: Pandas (Intermediate), NumPy (Intermediate), SciPy (Intermediate), Matplotlib (Intermediate), Jupyter (Intermediate), Excel (Advanced)
Machine Learning: scikit-learn (Intermediate), TensorFlow (Basic), Keras (Basic), Apache Spark (Basic), PyTorch (Basic), Weka (Basic)
Data Visualization: Tableau (Intermediate), Power BI (Intermediate), ggplot2 (Basic), Seaborn (Basic), D3.js (Basic), Bokeh (Basic)
Certifications: DataCamp Certified Data Scientist (2021), Microsoft Certified: Azure Data Scientist Associate (2022)
Conferences & Workshops: Attended 'Neural Networks and Deep Learning' workshop by DeepLearning.AI, Participated in the annual Resume Worded Data Conference
Projects: Developed an R Shiny app for real-time data visualization, Created a predictive model for eCommerce sales forecasting
Publications: Published paper on 'The Ethics of Data Science' in the Resume Worded Tech Journal, Co-authored research on 'Trends in Big Data Analytics'

Education placement on resume

As an incoming data scientist, it's crucial to leverage your educational experience. Place your educational background at the beginning of your resume. This showcases your strong theoretical knowledge base, particularly important for entry-level positions where you may lack extensive professional experience.

Include relevant coursework that might differentiate you, such as advanced statistics, machine learning, or data visualization. Also, highlight any thesis or significant projects related to data science. This will provide a practical context for your theoretical knowledge.

Example #2

Entry Level Data Scientist
Resume Sample

Your Name
Entry Level Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
IBM April 2021 - Present
Data Analyst
Used predictive modeling to forecast sales trends, enabling a 15% increase in Q2 revenues.
Streamlined data processing tasks by designing new algorithms in Python.
Conducted statistical analysis leading to two main insights that increased team efficiency by 10%.
Resume Worded January 2021 - March 2021
Data Science Intern
Optimized ETL processes which reduced data processing time by 35%.
Enhanced accuracy of prediction models by 25% utilizing machine learning techniques.
Stanford University August 2020 - December 2020
Graduate Assistant
Implemented data collection and analysis for thesis research.
Published a paper in a renowned research journal.
Resume Worded Institute December 2020
Master of Science - Data Science
Concentration in Machine Learning and Artificial Intelligence
Cumulative GPA: 3.8/4.0
Resume Worded University May 2018
Bachelor of Science - Applied Mathematics
Minors in Statistics and Computational Modeling
Participated in competitive analytics challenges - Winner of 2017 DataFest
Programming Languages: Python (Pandas, NumPy, scikit-learn, TensorFlow), R, SQL, Java, Scala, Julia
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, ggplot2
Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, Model Validation
Big Data Technologies: Apache Spark, Hadoop, MongoDB, Cassandra
Certifications: Data Scientist Certification - IBM (2022), AWS Certified Big Data - Specialty
Publications: Co-authored 'Predictive Analytics in Retail' published in Data Science Journal
Volunteering: Volunteer Data Analyst for Nonprofit Education Group, Optimizing Outreach Campaigns
Conferences: Presented on 'Ethics in AI' at 2022 Global Data Science Conference

Displaying quantitative skills

An entry-level data scientist role requires a strong mathematical and statistical foundation. Ensure to include quantitative accomplishments in your resume. Did you manage to improve a process or identify a key insight during a school project? Quantify these achievements. It shows you can not only handle data, but also draw valuable conclusions.

Data scientists often require proficiency with specific tools such as Python, R, and SQL, or data visualization platforms like PowerBI or Tableau. Showcase your familiarity or proficiency with these tools prominently to attract the attention of hiring managers.

Example #3

Entry Level Data Scientist
Resume Sample

Your Name
Entry Level Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Microsoft July 2020 - Present
Junior Data Scientist
Drove product design improvements based on data insights, leading to an 18% improvement in user experience.
Optimized data structures to improve system performance by 21%.
Automated data extraction processes, leading to a decrease in errors by 30%.
Coached.com April 2020 - June 2020
Data Analyst Intern
Utilized AI in data processing, which led to a 20% improvement in operational efficiency.
Automated data visualization process using Tableau, leading to better business decision making.
Google January 2020 - March 2020
IT Intern
Assisted in developing advanced queries to streamline data extraction.
Improved website functionality based on A/B testing results.
Resume Worded University May 2020
Master of Science in Data Science
Thesis on Predictive Analytics in Healthcare
President of the Data Analysis Club, increased member engagement by 20%
Resume Worded Institute May 2018
Bachelor of Science in Computer Science
Minor in Statistical Methods
Graduated Summa Cum Laude, GPA: 3.95/4.00 (Top 1% of class)
Programming & Software: Python (Pandas, NumPy, scikit-learn), R, SQL, Java, C++, MATLAB
Machine Learning & Statistics: Linear Regression, Decision Trees, Neural Networks, Bayesian Analysis, Cluster Analysis, PCA
Data Visualization: Tableau, Power BI, Matplotlib, ggplot2, D3.js
Big Data Technologies: Apache Spark, Hadoop, AWS Redshift, Google BigQuery, NoSQL databases
Certifications: Certified Data Scientist (CDS), Project Management Professional (PMP) (2022)
Leadership & Volunteering: Mentor for Women in Data Science, Data Science Speaker at University Alumni Events
Projects: Developed an NLP model to automate customer feedback analysis, advancing internal data-driven decision-making
Technical Courses: Advanced SQL for Data Scientists - LinkedIn Learning, Deep Learning Specialization - Coursera

Keeping your resume concise

For entry-level data scientist positions, it's most effective to keep your resume to one page. It presents a clear and focused snapshot of your abilities, indicating your aptitude for the meticulous, precision driven role of a data scientist. It also shows respect for hiring managers’ time, who often sift through dozens, if not hundreds, of resumes.

If you find your resume stretching beyond one page, review your content ruthlessly. Prioritize recent and relevant educational and work experience, and cut older or less relevant information. It's about showcasing quality, not quantity, of your experience.

Example #4

Data Science Associate
Resume Sample

Your Name
Data Science Associate
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Facebook March 2021 - Present
Data Science Associate
Significantly reduced cost per conversion by employing PPC search techniques, resulting in a 20% cost saving.
By leveraging big data analytics, increased user retention by 15%.
Revamped pricing strategy based on predictive modeling, resulting in a 12% increase in profits.
Resume Worded August 2020 - February 2021
Data Engineer
Reduced costs by optimizing data storage and processing infrastructure.
Increased efficiency of data clean-up process by 30% through developing automation scripts.
Amazon May 2020 - July 2020
Software Developer Intern
Developed back-end solutions that improved system efficiency by 15%.
Assisted with CRM data analysis which led to improved customer satisfaction.
Resume Worded Institute May 2020
Master of Science in Data Science
Cumulative GPA: 3.9/4.0
Dissertation on Predictive Analytics and Machine Learning
Resume Worded University May 2018
Bachelor of Science in Computer Science
Specialized in Big Data Technologies
Part-time during Software Developer Internship at Amazon
Data Analysis & Visualization: Python (Pandas, Matplotlib), R, SQL, Tableau, Power BI, Excel (Advanced)
Machine Learning & Statistical Modeling: Scikit-learn, Tensorflow, Keras, PyTorch, NLTK, Spark MLlib
Database Management: MySQL, PostgreSQL, MongoDB, Cassandra, Redshift, BigQuery
Programming & Development: Java, Scala, Python, Git, Jenkins, Docker, Kubernetes
Certifications: Professional Data Engineer on Google Cloud Platform (2022), AWS Certified Solutions Architect – Associate (2021)
Awards: Facebook Data Innovation Award (2022), Resume Worded Academic Excellence Scholarship (2018)
Conference Presentations: Guest Speaker at Big Data TechCon 2022, Panelist at MLConf 2021
Professional Development: Member of the Association for Computing Machinery (ACM), Regular contributor to 'Data Science Central' blog

Showcasing problem-solving skills

Problem-solving is at the heart of being a data scientist. Illustrate your knack for problem-solving by sharing instances where you've identified complex problems, dissected them, and formulated effective solutions. Even scenarios from academic projects or hackathons can illuminate your abilities.

Additionally, communication is key in data science, as findings often need to be translated to non-technical teams. Highlight any experience or activities where you had to present complicated information in a clear, understandable way. This shows you not only understand data, but can also help others understand it as well.

Example #5

Entry Level Data Scientist with Data Visualization Specialization
Resume Sample

Your Name
Entry Level Data Scientist with Data Visualization Specialization
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Visa Inc. November 2020 - Present
Data Visualization Specialist
Created dashboards using Power BI that influenced key business decisions.
Optimized data visuals, resulting in a 25% increase in end-user engagement.
Implemented new data visualization techniques that resulted in simplifying complex datasets for stakeholders.
Google August 2020 - October 2020
Data Analyst Intern
Developed SQL databases for efficient data storage and access.
Enhanced data quality by implementing validation checks.
Increased speeed of report generation by automating Tableau dashboards.
Texas University January 2020 - July 2020
Statistics Tutor
Simplified complex statistical concepts for undergraduate students.
Debugged and improved students' programming codes.
Resume Worded University August 2020
Master of Science - Data Science
Graduated with Honors, Cum Laude
Thesis on 'Predictive Analysis and Visualization Techniques in FinTech'
Resume Worded Institute May 2018
Bachelor of Science - Applied Mathematics
Minored in Computational Statistics
Part-time Student Researcher - Developed predictive models using machine learning
Data Visualization: Tableau, D3.js, ggplot2, Power BI, Matplotlib, Plotly
Data Analysis/Science: SQL, Python (Pandas, NumPy), R, SPSS, SAS, Excel
Machine Learning: scikit-learn, TensorFlow, Keras, PyTorch, FastAI, SVM
Additional Technical Skills: Git, Docker, Jupyter, Unix/Linux, Apache Spark, Hadoop
Certifications: Certified Data Visualization Specialist (2021), AWS Certified Big Data - Specialty (2020)
Projects: Developed an interactive web dashboard for COVID-19 data analytics, Contributed to open-source data visualization library
Awards: Visa Inc. Rising Star Award (2021), Google Analytics Challenge Winner (2020)
Professional Development: Attended 'Advanced Data Science and Analytics with Python' workshop, Participated in 'Data for Good' volunteer program designing solutions for non-profit data challenges

Beat the resume screeners

When you apply for an entry level data scientist role, your resume may first be read by a computer program known as an Applicant Tracking System (ATS). It's important to format your resume in a way that this system can read it well. This means avoiding images or graphics that contain important text and using standard section headings like 'Work Experience' and 'Education'.

Here are some key things to keep in mind to help your resume get past the ATS:

  • Use relevant keywords from the job description. For example, include skills like 'data mining' or 'machine learning' if they match your abilities.
  • Make sure your layout is simple. Use clear headings and bullet points to list your skills and experiences.

These steps will help ensure that your resume is ATS-friendly and that it will be seen by a hiring manager for the entry level data scientist positions you are applying for.

Example #6

Marketing Associate to Entry Level Data Scientist
Resume Sample

Your Name
Marketing Associate to Entry Level Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Netflix December 2020 - Present
Marketing Data Analyst
Used Python to analyze customer data, leading to better retention strategies.
Implemented data-driven marketing campaigns that boosted customer engagement by 20%.
Introduced a new metric tracking system that increased data accuracy by 18%.
Coached.com July 2020 - November 2020
Marketing Analyst Intern
Streamlined marketing expense tracking, saving about $5000 monthly.
Designed SQL databases for efficient storage and access of marketing data.
PepsiCo January 2020 - June 2020
Marketing Intern
Developed data-driven marketing strategies that led to a 10% increase in sales.
Implemented customer surveys to gather qualitative data for market research.
Resume Worded Institute May 2021
Master of Science in Data Science
Specialization in Machine Learning and Predictive Analytics
Resume Worded University June 2020
Bachelor of Science in Marketing
Summa Cum Laude, Relevant Coursework: Market Research, Consumer Behavior, Data Analysis (Part-time)
Data Analysis & Visualization: SQL, Python (Pandas, NumPy, Matplotlib), R, Tableau, Power BI, Google Analytics
Machine Learning: SciKit-Learn, TensorFlow, Keras, PyTorch, Spark MLlib, Azure ML
Programming Languages: Python (Intermediate), R (Advanced), Java (Basic), JavaScript (Basic)
Marketing Tools: SEMrush, Ahrefs, Moz, Marketo, HubSpot, Salesforce CRM
Certifications: Google Data Analytics Professional Certificate (2021), Certified Data Scientist with Python (2021)
Leadership & Volunteering: Volunteer Data Analyst for Local Non-Profit Organizations, Marketing Club President at Resume Worded University
Projects: Developed a predictive model for customer subscription churn, Spearheaded a market segmentation strategy that increased campaign engagement by 20%

Shape your resume for the job

You want to show you fit the data scientist role you're after. Think about what skills and experiences are most important for someone who works with data. Match your resume to these needs. This tells me, as a hiring manager, that you understand the job and are ready to step in.

  • Put your most relevant data projects first. Use terms like data analysis, machine learning, and data visualization.
  • Show how you solve problems. Mention a time you used statistical methods or predictive models to make decisions.
  • If your past work was not in data science, show matching skills. For example, if you used Excel for data tracking, that’s useful.
Example #7

Senior Data Analyst
Resume Sample

Your Name
Senior Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Twitter January 2022 - Present
Senior Data Analyst
Managed a team of 5 junior analysts to ensure timely and efficient project execution.
Used predictive analysis to foresee market trends; informing product strategy.
Spearheaded data governance initiatives leading to 15% improvement in data security.
Resume Worded April 2021 - December 2021
Data Scientist
Automated ETL processes, leading to 35% improved efficiency of data pipelines.
Conducted rigorous A/B testing to inform website redesign, leading to 20% increase in click-through rates.
Goldman Sachs February 2020 - March 2021
Business Analyst
Visualized financial data using Tableau to drive investment strategies.
Spearheaded data clean-up initiative, improving data quality by 25%.
Improved forecast accuracy by 15% by developing robust statistical models.
Resume Worded Institute May 2021
Master of Science in Data Science
Capstone Project: Developed predictive models to improve financial trading strategies
Resume Worded University March 2020
Certification in Advanced Data Analysis
Completed certification part-time while working full-time at Goldman Sachs
Data Analysis Tools: Python (Pandas, NumPy, SciPy), SQL, R, Tableau, Power BI, Excel (Advanced)
Statistical Techniques: Regression Analysis, A/B Testing, Time Series Analysis, Predictive Modeling, Machine Learning, Cluster Analysis
Data Management: Hadoop, Spark, MongoDB, MySQL, PostgreSQL, Redshift
Programming Languages: Python (Expert), Java (Intermediate), Scala (Intermediate), JavaScript (Basic)
Certifications: Certified Data Scientist – HarvardX (2022), Microsoft Certified: Data Analyst Associate (2021)
Conferences: Speaker at Global Data Analysis Summit (2021), Attended Machine Learning Symposium (2020)
Awards: Recipient of the Data Innovation Award (2021), Twitter Employee Excellence in Analytics (2022)
Publications: Co-author of 'Predictive Analytics in FinTech', Published article 'Data-Driven Decisions' in Data Science Weekly (2021)
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Entry Level Data Scientist

Resume Sample #1

Entry Level Data Scientist

Resume Sample #2

Entry Level Data Scientist

Resume Sample #3

Data Science Associate

Resume Sample #4

Entry Level Data Scientist with Data Visualization Specialization

Resume Sample #5

Marketing Associate to Entry Level Data Scientist

Resume Sample #6

Senior Data Analyst

Resume Sample #7