How To Make a Resume For Junior Data Scientists (2022) | Resume Example

Do you need to submit a resume for a junior data scientist position? Learn ‘how to make a resume for data scientists’ and check out the example. (PS: Don’t forget to DOWNLOAD matching CV and Cover Letter Templates 📑)

BEST HOW-TO-VIDEOS (YT)
📃 Make a Resume
✍🏻 Write a Cover Letter
👥 Create a LinkedIn Profile

OVERVIEW EXAMPLES (TEXT)
📄 Resume Examples
📝 Cover Letter Examples
💬 100 Interview Q&As

OTHER LINKS
👥 1-ON-1 CV & Cover Letter Help
👥 1-ON-1 Mock Interviews
📑 CV & Cover Letter Templates

Junior Data Scientist Resume Example

NAME SURNAME
Los Angeles, CA | [email protected] | +[000]-000-0000 | linkedin.com/username

EDUCATION

University Name | Master of Computer Application

  • Grade Point Average (GPA): 3.80/4.00
  • President of Student Council

City, State | 01.2021 – Present

University Name | Bachelor of Computer Science

  • Cumulative GPA: 3.70/4.00
  • Member of the Math & Science Club

City, State | 01.2017 – 08.2020

SKILLS

Database & Programming Languages
SQL, R, Python, Java, JavaScript, Julia, Scala, MATLAB, Tensorflow,
HTML/CSS

Software Tools
Microsoft Office Suite,
Google Sheets,
Tableau / Qlik

Communication & Interpersonal
Effective communicator,
Ability to teach & mentor
Decision-maker & problem-solver

WORKING EXPERIENCE

Startup Name | Data Scientist Intern

City, State | 01.2019 – 01.2020

  • Collaborated with a 5-person development team to optimize [Startup]’s CRM database, hence decrease wasted correspondence and increase customer retention
  • Improved existing machine learning models, performed extensive customer analysis and designed data modeling processes to create predictive models
  • Praised for increasing [Software]’s efficiency by 31% and customer retention rate by 23% which resulted in annual savings of $300,000 (see references)

Company Name | Data Engineer Intern

City, State | 01.2018 – 01.2019

  • Collaborated with a 6-person project team to optimize [Company]’s CRM database, hence decrease wasted correspondence and increase customer retention
  • Improved existing machine learning models, performed extensive customer analysis and designed data modeling processes to create predictive models
  • Praised for increasing [Company]’s efficiency by 29% and customer retention rate by 15% which resulted in savings of $250,000 in 2021

PROJECTS

Fake News Detection Project
Language: Python
Dataset/Packages: news.csv
Source Code: [link]

Wildfire Prediction Project
Visualization tools: Plotly & Matplotlib
Dataset/Packages: wildfire.csv
Source Code: [link]

Chatbot Project at [University]
Language: Python
Dataset/Packages: intents.json
Source Code: [link]

EXTRAS

Codecademy, Data Scientist Path
Learned how to use SQL, Python,
Machine Learning & AI

HackerEarth, Hackathon (LA)
Learned serverless compute and collaborated with developers

Data Scientists (World), Meetup
Weekly virtual meetup: talk about trends, findings and tools

CV & COVER LETTER TEMPLATESVIEW MORE