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Junior data scientists are just data scientists that have under five years of industry experience, or have recently made a career change into the field. The title is sometimes used interchangeably with the regular 'data scientist', so you can use this template whether or not you're a junior data scientist or have some experience in the field.
You can see examples of metrics to go with the companies’ achievements. Plus, all the skills mentioned are very relevant to the data science and engineering field.
The two-column in this data scientist resume template prioritizes the work experience sections, while maximizing the content into the resume. The resume does not look overcrowded and uses reasonable margins. Not all two column templates are ATS-compatible, but this one is when it is saved as PDF and passed through a resume screener.
We spoke with hiring managers at leading companies like Google, Amazon, and Microsoft to understand what they look for in junior data scientist resumes. Based on their insights and our own expertise in resume writing, we've compiled a list of tips to help you create a strong resume that will catch the attention of recruiters and hiring managers.
Recruiters want to see that you have the necessary technical skills for the job. Make sure to include:
Don't just list the skills, but provide specific examples of how you've used them in projects or coursework.
Developed a machine learning model using Python and scikit-learn to predict customer churn, resulting in a 20% reduction in churn rate.
When applying for jobs with a modern two-column resume, you may wonder if you need a summary section. While a summary is optional, it can be a valuable addition to your resume if you're a career changer or have extensive experience. However, avoid using an objective statement, as it's outdated and ineffective.
If you choose to include a summary, make sure it provides context or details not already covered in your resume. Keep it concise, ideally no more than a paragraph. Focus on highlighting your most relevant skills and experiences without repeating information from other sections.
In the work experience section, you'll discuss your past jobs and how they've prepared you for the role you're applying for. It's a chance to show the value you've delivered, skills you've built, and impact you've had in previous positions. Let's break down how to write an effective work experience section for a modern two-column resume:
When describing your work experience, choose powerful action verbs that showcase your contributions and are tailored to your industry. This helps paint a vivid picture of your achievements for hiring managers.
Examples of strong, industry-specific action verbs include:
In contrast, here are some examples of weak, generic language to avoid:
The education section of your modern two-column resume is a key area to showcase your academic achievements and training. It's important to format this section correctly and include relevant details that support your job application. Here are some tips to help you write an effective education section for your resume.
The skills section of your junior data scientist resume is critical in showing hiring managers that you have the technical abilities to succeed in the role. It's also important for getting past Applicant Tracking Systems (ATS) that screen resumes for relevant keywords. Here are some tips to make sure your skills section is effective:
Here are examples of popular skills from Junior Data Scientist job descriptions that you can include on your resume.
This word cloud highlights the important keywords that appear on Junior Data Scientist job descriptions and resumes. The bigger the word, the more frequently it appears on job postings, and the more likely you should include it in your resume.
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