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A data science manager has an administrative and technical role. They are responsible for guiding and overseeing the data science team. Hence, they will determine project outlines, deadlines, and priorities, and ensure team members follow specifications. As a data science manager, you should ideally have a master’s degree in data science or equivalent experience.
You can take your resume to another level by demonstrating your impact on previous projects’ results. This way, you are showcasing your tangible value.
Your data science manager resume should highlight your academic value and expertise, and certification is a great way to demonstrate that. These are third-party validated credentials that exhibit your skills and years of experience.
Data science managers should have project management skills to successfully drive success to the data science team. Recruiters are looking for past evidence of assigning tasks, prioritizing deliverables, providing feedback, conducting research, and ensuring team members’ performance. To highlight this, include action verbs like "Led" or "Managed".
To be a successful manager in any role, you need to have the experience of a manager. A focus on team management and leading a team to great results are examples you should list on your resume. Showing recruiters that you can lead a team or data science project that brings high-yield results is what will set your resume apart from other applicants. Data science is all about using data to drive decision-making and top-level KPIs, so make sure you add accomplishments to your resume that highlight how your work has affected your company’s bottom line.
You can see in the experience section of this sample how they led a few projects. They discuss what was done, who they worked with, and how big a team they had. Follow a similar layout in your resume so recruiters can see that you can lead data science teams.
One way that you can get your resume past the filtering system, or ATS, is to use specific keywords that are found throughout the job description. In this sample, you see keywords like “training and peer-mentoring”, “data systems”, and “regression analysis.”
We spoke with hiring managers from top companies like Google, Amazon, and Microsoft to gather their best advice for creating a standout Data Science Manager resume. Here are their top tips for showcasing your skills and experience to land your next data science leadership role.
Employers want to see that you have experience leading and managing data science teams. Use your resume to showcase your leadership skills by including:
Avoid simply listing your management duties. Instead, provide specific examples that demonstrate the impact of your leadership.
Responsible for managing a team of data scientists.
Built and led a team of 8 data scientists which delivered $2M in cost savings through machine learning projects.
A resume summary is an optional section that goes at the top of your resume, just below your name and contact information. While it's not required, a well-written summary can be a powerful way to introduce yourself and provide context for the rest of your resume, especially if you're a career changer or have a lot of experience. However, avoid using an objective statement, as it's outdated and focuses on what you want rather than what you can offer.
When writing your summary, focus on your most relevant skills, experiences, and achievements as they relate to the data science manager role. Tailor your language to the specific job you're applying for, and avoid repeating information that's already covered in other sections of your resume. Keep it concise, no more than a paragraph or a few bullet points.
Your work experience section is the heart of your resume as a data science manager. It's where you show hiring managers how you've applied your skills to real-world problems and driven impact.
In this section, we'll break down the key steps to writing a compelling work experience section that will help you stand out from other candidates and land your next data science manager role.
When describing your experiences, use strong, industry-specific action verbs to convey your skills and accomplishments. Some examples include:
Avoid generic or overused verbs like "managed" or "responsible for." Instead, choose verbs that are specific to the actions you took and the skills you applied.
Developed and implemented a deep learning model that improved image classification accuracy by 25%, enabling the company to launch a new product feature that attracted 100K new users in the first month.
Your education section is a key part of your data science manager resume. It shows hiring managers that you have the knowledge and training to succeed in the role. Follow these tips to make your education section stand out.
Here are examples of popular skills from Data Science Manager job descriptions that you can include on your resume.
This word cloud highlights the important keywords that appear on Data Science Manager 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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